Task 4: Homology based structure predictions

Task description

The full description of this task can be found here.

In this task we are going to learn more about several methods of homology modelling. There exists only a small number of known protein structures. Therefore if someone wants to predict the structure of a somehow new protein (newly sequenced, a mutant, etc.). He could use known structures to calculate a model of the unknown structure.

Homology modelling bases on an alignment between the target-sequence and one or more template structures. The aligned coordinates are directly used for the model. That is why it is important to select a good template and alignment.

Calculation of models

Overview of available homologous structures

Search

We used hhsearch with the standard parameter to find homologous structures of our protein. The following command was executed:

• ./hhsearch -i reference_pah_aa.fasta -d pdb70.db -b 500 -o hhsearch.out

We received the following hits:

No.	PDB ID	Description	Prob	E-Value	P-Value	Score	SS	Cols	Query HMM	Template HMM	Residues	Sequence Identity
1	1phz_A	Protein (phenylalanine	1	1	1	1084.4	0	429	1-429	1-429	(429)	92%
2	1j8u_A	Phenylalanine-4-hydroxy	1	1	1	894.5	0	325	103-427	1-325	(325)	100%
3	1toh_A	Tyroh tyrosine hydroxy	1	1	1	890.7	0	342	111-452	2-343	(343)	60%
4	1mlw_A	Tryptophan 5-monooxygen	1	1	1	804.2	0	300	116-415	2-301	(301)	66%
5	1ltz_A	Phenylalanine-4-hydroxy	1	1	1	504.9	0	265	144-414	2-269	(297)	30%
6	2v27_A	Phenylalanine hydroxyla	1	1	1	471.1	0	254	167-424	4-271	(275)	30%
7	2qmx_A	Prephenate dehydratase;	1	1	1	70.0	0	53	33-85	199-251	(283)	40%
8	2qmw_A	PDT prephenate dehydra	1	1	1	66.1	0	51	35-85	190-240	(267)	37%
9	3luy_A	Probable chorismate mut	1	1	1	66.0	0	53	33-85	207-259	(329)	28%
10	1y7p_A	Hypothetical protein AF	1	1	1	19.9	0	38	36-73	6-43	(223)	16%

Important remark: the scores for Prob, E-Value and P-Value could not be calculated, that is why they are 1.

Template structure selection

We selected the following structures as our template structures:

• > 60% sequence identity: 1phz
• > 40% sequence identity: 1toh
• < 40% sequence identity: 1ltz

Alignment Refinement

We used the reference for a search in PFAM. There were two PFAM-domains detected on the reference sequence: ACT and Biopterin_H Then we used the sequence of the three proteins 1PHZ, 1TOH and 1LTZ to run a search against PFAM and used the alignments with the HMMs of ACT and Biopterin_H and the alignment of the reference sequence with the HMMs of ACT and Biopterin_H as seeds for the improved alignments. The crucial parts of the reference sequence according to the annotation in UniProt was already aligned by the seeds. We predicted the secondary structure of the three sequences of the proteins (TODO ref... seems to be better to predict) and tried to extend the seeds. In PHZ a large gap could be filled by high sequence identity. Afterwards we deleted the unaligned ends of the reference sequence to improve the resulting model. The essential part of the protein, the domains, should now be better modeled.

Seeds by PFAM - ACT:

REFERENCE	SLIFSLKEEVGALAKVLRLFEENDVNLTHIESRPSRLKkDEYEFFTHLD-KRSL
1PHZ	SLIFSLKEEVGALAKVLRLFEENDINLTHIESRPSRLNkDEYEFFTYL------

Seeds by PFAM - Biopterin_H

REFERENCE	PWFPRTIQELDRFANQILSYGAELDADHPGFKDPVYRARRKQFADIAYNYRHGQPIPRVEYMEEEKKTWGTVFKTLKSLYK THACYEYNHIFPLLEKYCGFHEDNIPQLEDVSQFLQTCTGFRLRPVAGLLSSRDFLGGLAFRVFHCTQYIRHGSKPMYTPE PDICHELLGHVPLFSDRSFAQFSQEIGLASLGAPD-EYIEKLATIYWFTVEFGLCKQGDSIKAYGAGLLSSFGELQYCL-S EKPKLLPLELEKTAIQNYTVTEFQPLYYVAESFNDAKEKVRNFAATIPRPFSVRYDPYTQRIEVLDNTQQLKILADSINSE IGILCSALQK
1PHZ	PWFPRTIQELDRFANQI------LDADHPGFKDPVYRARRKQFADIAYNYRHGQPIPRVEYTEEEKQTWGTVFRTLKALYK THACYEHNHIFPLLEKYCGFREDNIPQLEDVSQFLQTCTGFRLRPVAGLLSSRDFLGGLAFRVFHCTQYIRHGSKPMYTPE PDICHELLGHVPLFSDRSFAQFSQEIGLASLGAPD-EYIEKLATIYWFTVEFGLCKEGDSIKAYGAGLLSSFGELQYCL-S DKPKLLPLELEKTACQEYSVTEFQPLYYVAESFSDAKEKVRTFAATIPRPFSVRYDPYTQRVEVLDNT------------- ----------
1TOH	PWFPRKVSELDKC-----------DLDHPGFSDQVYRQRRKLIAEIAFQYKHGEPIPHVEYTAEEIATWKEVYVTLKGLYA THACREHLEGFQLLERYCGYREDSIPQLEDVSRFLKERTGFQLRPVAGLLSARDFLASLAFRVFQCTQYIRHASSPMHSPE PDCCHELLGHVPMLADRTFAQFSQDIGLASLGASD-EEIEKLSTVYWFTVEFGLCKQNGELKAYGAGLLSSYGELLHSL-S EEPEVRAFDPDTAAVQPYQDQTYQPVYFVSESFNDAKDKLRNYASRIQRPFSVKFDPYTLAIDVLDSPHTIQRSLEGVQDE LHTLAHALS-
1LTZ	------------------------------------------------------PQPLDRYSAEDHATWATLYQRQCKLLP GRACDEFLEGLERLEV----DADRVPDFNKLNEKLMAATGWKIVAVPGLIPDDVFFEHLANRRFPVTWWLREPHQLDYLQE PDVFHDLFGHVPLLINPVFADYLEAYGKGGVKAKAlGALPMLARLYWYTVEFGLINTPAGMRIYGAGILSSKSESIYCLdS ASPNRVGFDLMRIMNTRYRIDTFQKTYFVIDSFKQ---------------------------------------------- ----------

unadjusted alignment of 1PHZ

REFERENCE	MSTAVLENPGLGRKLSDFGQETSYIEDNCNQNGAISLIFSLKEEVGALAKVLRLFEENDVNLTHIESRPSRLKKDEYEFF THLDKRSLPALTNIIKILRHDIGATVHELSRDKKKDTVPWFPRTIQELDRFANQILSYGAELDADHPGFKDPVYRARRKQ FADIAYNYRHGQPIPRVEYMEEEKKTWGTVFKTLKSLYKTHACYEYNHIFPLLEKYCGFHEDNIPQLEDVSQFLQTCTGF RLRPVAGLLSSRDFLGGLAFRVFHCTQYIRHGSKPMYTPEPDICHELLGHVPLFSDRSFAQFSQEIGLASLGAPDEYIEK LATIYWFTVEFGLCKQGDSIKAYGAGLLSSFGELQYCLSEKPKLLPLELEKTAIQNYTVTEFQPLYYVAESFNDAKEKVR NFAATIPRPFSVRYDPYTQRIEVLDNTQQLKILADSINSEIGILCSALQKIK
PSI	CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCEEEEEECCCCCHHHHHHHHHHHHCCCCEEEEECCCCCCCCCCEEEE EECCCCCCHHHHHHHHHHCCCCEEEECCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHCCCCCCCCCCCCCCHHHHHHHHH HHHHHHCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHHHHHCC EEEECCCCCCHHHHHHHCCCCEECCCEEEECCCCCCCCCCCCHHHHHHCCCCCCCCCHHHHHHHHHHHHCCCCCHHHHHH HHHHEEEEEEEEEECCCCCEEEECCCCCCCHHHHHHHHCCCCCCCCCCHHHHHCCCCCCCCCCEEEEEECCHHHHHHHHH HHHHHCCCCCEEEECCCCCEEEECCCHHHHHHHHHHHHHHHHHHHHHHHHHC
1PHZ	------------------GQETSYIEDNSNQNGAISLIFSLKEEVGALAKVLRLFEENDINLTHIESRPSRLNKDEYEFF TYLDKRTKPVLGSIIKSLRNDIGATVHELSRDKEKNTVPWFPRTIQELDRFANQI------LDADHPGFKDPVYRARRKQ FADIAYNYRHGQPIPRVEYTEEEKQTWGTVFRTLKALYKTHACYEHNHIFPLLEKYCGFREDNIPQLEDVSQFLQTCTGF RLRPVAGLLSSRDFLGGLAFRVFHCTQYIRHGSKPMYTPEPDICHELLGHVPLFSDRSFAQFSQEIGLASLGAPDEYIEK LATIYWFTVEFGLCKEGDSIKAYGAGLLSSFGELQYCLSDKPKLLPLELEKTACQEYSVTEFQPLYYVAESFSDAKEKVR TFAATIPRPFSVRYDPYTQRVEVLDNT-------------------------
PSI	------------------CCCCCCCCCCCCCCCEEEEEEEECCCCCHHHHHHHHHHHCCCEEEEEECCCCCCCCCEEEEE EEECCCCCCCHHHHHHHHHCCCCCCEEECCCCCCCCCCCCCCCCHHHHHHHHHHH------CCCCCCCCCCHHHHHHHHH HHHHCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHCCCCCCCCCCCHHHHHHHHHCCCC EEEECCCCCCHHHHHHHHHCCCCCEECCCCCCCCCCCCCCCCHHHHHCCCCCCCCCHHHHHHHHHHHHHHCCCCHHHHHH HHHHEEEEEEEEEEEECCCCEEECCCCCCCCCCCCCCCCCCCCCCCCCHHHHHCCCCCCCCCCCCEEEECCHHHHHHHHH HHHHHCCCCCCCCCCCCCCEEEECCCC-------------------------

unadjusted alignment of 1TOH

REFERENCE	MSTAVLENPGLGRKLSDFGQETSYIEDNCNQNGAISLIFSLKEEVGALAKVLRLFEENDVNLTHIESRPSRLKKDEYEFF THLDKRSLPALTNIIKILRHDIGATVHELSRDKKKDTVPWFPRTIQELDRFANQILSYGAELDADHPGFKDPVYRARRKQ FADIAYNYRHGQPIPRVEYMEEEKKTWGTVFKTLKSLYKTHACYEYNHIFPLLEKYCGFHEDNIPQLEDVSQFLQTCTGF RLRPVAGLLSSRDFLGGLAFRVFHCTQYIRHGSKPMYTPEPDICHELLGHVPLFSDRSFAQFSQEIGLASLGAPDEYIEK LATIYWFTVEFGLCKQGDSIKAYGAGLLSSFGELQYCLSEKPKLLPLELEKTAIQNYTVTEFQPLYYVAESFNDAKEKVR NFAATIPRPFSVRYDPYTQRIEVLDNTQQLKILADSINSEIGILCSALQKIK
PSI	CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCEEEEEECCCCCHHHHHHHHHHHHCCCCEEEEECCCCCCCCCCEEEE EECCCCCCHHHHHHHHHHCCCCEEEECCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHCCCCCCCCCCCCCCHHHHHHHHH HHHHHHCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHHHHHCC EEEECCCCCCHHHHHHHCCCCEECCCEEEECCCCCCCCCCCCHHHHHHCCCCCCCCCHHHHHHHHHHHHCCCCCHHHHHH HHHHEEEEEEEEEECCCCCEEEECCCCCCCHHHHHHHHCCCCCCCCCCHHHHHCCCCCCCCCCEEEEEECCHHHHHHHHH HHHHHCCCCCEEEECCCCCEEEECCCHHHHHHHHHHHHHHHHHHHHHHHHHC
1PHZ	------------------GQETSYIEDNSNQNGAISLIFSLKEEVGALAKVLRLFEENDINLTHIESRPSRLNKDEYEFF TYLDKRTKPVLGSIIKSLRNDIGATVHELSRDKEKNTVPWFPRTIQELDRFANQI------LDADHPGFKDPVYRARRKQ FADIAYNYRHGQPIPRVEYTEEEKQTWGTVFRTLKALYKTHACYEHNHIFPLLEKYCGFREDNIPQLEDVSQFLQTCTGF RLRPVAGLLSSRDFLGGLAFRVFHCTQYIRHGSKPMYTPEPDICHELLGHVPLFSDRSFAQFSQEIGLASLGAPDEYIEK LATIYWFTVEFGLCKEGDSIKAYGAGLLSSFGELQYCLSDKPKLLPLELEKTACQEYSVTEFQPLYYVAESFSDAKEKVR TFAATIPRPFSVRYDPYTQRVEVLDNT-------------------------
PSI	------------------CCCCCCCCCCCCCCCEEEEEEEECCCCCHHHHHHHHHHHCCCEEEEEECCCCCCCCCEEEEE EEECCCCCCCHHHHHHHHHCCCCCCEEECCCCCCCCCCCCCCCCHHHHHHHHHHH------CCCCCCCCCCHHHHHHHHH HHHHCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHCCCCCCCCCCCHHHHHHHHHCCCC EEEECCCCCCHHHHHHHHHCCCCCEECCCCCCCCCCCCCCCCHHHHHCCCCCCCCCHHHHHHHHHHHHHHCCCCHHHHHH HHHHEEEEEEEEEEEECCCCEEECCCCCCCCCCCCCCCCCCCCCCCCCHHHHHCCCCCCCCCCCCEEEECCHHHHHHHHH HHHHHCCCCCCCCCCCCCCEEEECCCC-------------------------

unadjusted alignment of 1LTZ

REFERENCE	MSTAVLENPGLGRKLSDFGQETSYIEDNCNQNGAISLIFSLKEEVGALAKVLRLFEENDVNLTHIESRPSRLKKDEYEFF THLDKRSLPALTNIIKILRHDIGATVHELSRDKKKDTVPWFPRTIQELDRFANQILSYGAELDADHPGFKDPVYRARRKQ FADIAYNYRHGQPIPRVEYMEEEKKTWGTVFKTLKSLYKTHACYEYNHIFPLLEKYCGFHEDNIPQLEDVSQFLQTCTGF RLRPVAGLLSSRDFLGGLAFRVFHCTQYIRHGSKPMYTPEPDICHELLGHVPLFSDRSFAQFSQEIGLASLGAPD-EYIE KLATIYWFTVEFGLCKQGDSIKAYGAGLLSSFGELQYCL-SEKPKLLPLELEKTAIQNYTVTEFQPLYYVAESFNDAKEK VRNFAATIPRPFSVRYDPYTQRIEVLDNTQQLKILADSINSEIGILCSALQKIK
PSI	CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCEEEEEECCCCCHHHHHHHHHHHHCCCCEEEEECCCCCCCCCCEEEE EECCCCCCHHHHHHHHHHCCCCEEEECCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHCCCCCCCCCCCCCCHHHHHHHHH HHHHHHCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHHHHHCC EEEECCCCCCHHHHHHHCCCCEECCCEEEECCCCCCCCCCCCHHHHHHCCCCCCCCCHHHHHHHHHHHHCCCCCH HHHH HHHHHEEEEEEEEEECCCCCEEEECCCCCCCHHHHHHHH CCCCCCCCCCHHHHHCCCCCCCCCCEEEEEECCHHHHHHH HHHHHHHCCCCCEEEECCCCCEEEECCCHHHHHHHHHHHHHHHHHHHHHHHHHC
1LTZ	-----------------F--------------------------V-----V----------------------------- --------PDITT-----RKNVG-----LSHDANDFTLP------QPLDR-------YSA-------------------- ---------------------EDHATWATLYQRQCKLLPGRACDEFLEGLERLE----VDADRVPDFNKLNEKLMAATGW KIVAVPGLIPDDVFFEHLANRRFPVTWWLREPHQLDYLQEPDVFHDLFGHVPLLINPVFADYLEAYGKGGVKAKALGALP MLARLYWYTVEFGLINTPAGMRIYGAGILSSKSESIYCLDSASPNRVGFDLMRIMNTRYRIDTFQKTYFVIDSFKQL--- ---FDAD----FAPLY------LQLAD-AQPWG--AGDIAP------DDL--VL
PSI	-----------------C--------------------------C-----C----------------------------- --------CCCCC-----CCCCC-----CCCCCCCCCCC------CCCCC-------CCH-------------------- ---------------------HHHHHHHHHHHHHHHHCCCCCHHHHHHHHHHCC----CCCCCCCCCHHHHHHHHHHHCC EEEECCCCCCHHHHHHHHHCCCCCEEECCCCCCCCCCCCCCCHHHHHCCCCCCCCCHHHHHHHHHHHHHHCCCCCCCHHH HHHHHHEEEEEEEEEECCCCEEEECCCCCCCCCCCCCCCCCCCCEEECCCHHHHHCCCCCCCCCCCCEEEECCHHHH--- ---HHHC----CHHHH------HHHHH-CCCCC--CCCCCC------CCC--CC

adjusted alignment of 1LTZ

REFERENCE	PIPRVEYMEEEKKTWGTVFKTLKSLYKTHACYEYNHIFPLLEKYCGFHEDNIPQLEDVSQFLQTCTGFRLRPVAGLLSSR DFLGGLAFRVFHCTQYIRHGSKPMYTPEPDICHELLGHVPLFSDRSFAQFSQEIGLASLGAPDEYIEKLATIYWFTVEFG LCKQGDSIKAYGAGLLSSFGELQYCLSEKPKLLPLELEKTAIQNYTVTEFQPLYYVAESFNDAKEKVRNFAAT
PSI	CCCCCCCCHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHHHHHCCEEEECCCCCCHH HHHHHCCCCEECCCEEEECCCCCCCCCCCCHHHHHHCCCCCCCCCHHHHHHHHHHHHCCCCCHHHHHHHHHHEEEEEEEE EECCCCCEEEECCCCCCCHHHHHHHHCCCCCCCCCCHHHHHCCCCCCCCCCEEEEEECCHHHHHHHHHHHHHH
1LTZ	PQPLDRYSAEDHATWATLYQRQCKLLPGRACDEFLEGLERLEV----DADRVPDFNKLNEKLMAATGWKIVAVPGLIPDD VFFEHLANRRFPVTWWLREPHQLDYLQEPDVFHDLFGHVPLLINPVFADYLEAYGKGGVKAKAlGALPMLARLYWYTVEF GLINTPAGMRIYGAGILSSKSESIYCLdSASPNRVGFDLMRIMNTRYRIDTFQKTYFVIDSFKQLFDADFAPL
PSI	CCCCCCCCHHHHHHHHHHHHHHHHHCCCCCHHHHHHHHHHCCCCCCCCCCCHHHHHHHHHHHCCEEEECCCCCCHHHHHH HHHCCCCCEEECCCCCCCCCCCCCCCHHHHHCCCCCCCCCHHHHHHHHHHHHHHCCCCCCCHHHHHHHHHEEEEEEEEEE CCCCEEEECCCCCCCCCCCCCCCCCCCCEEECCCHHHHHCCCCCCCCCCCCEEEECCHHHHHHHCCHHHHHHH

adjusted alignment of 1PHZ

REFERENCE	GQETSYIEDNCNQNGAISLIFSLKEEVGALAKVLRLFEENDVNLTHIESRPSRLKKDEYEFFTHLDKRSLPALTNIIKIL RHDIGATVHELSRDKKKDTVPWFPRTIQELDRFANQILSYGAELDADHPGFKDPVYRARRKQFADIAYNYRHGQPIPRVE YMEEEKKTWGTVFKTLKSLYKTHACYEYNHIFPLLEKYCGFHEDNIPQLEDVSQFLQTCTGFRLRPVAGLLSSRDFLGGL AFRVFHCTQYIRHGSKPMYTPEPDICHELLGHVPLFSDRSFAQFSQEIGLASLGAPDEYIEKLATIYWFTVEFGLCKQGD SIKAYGAGLLSSFGELQYCLSEKPKLLPLELEKTAIQNYTVTEFQPLYYVAESFNDAKEKVRNFAATIPRPFSVRYDPYT QRIEVLDNTQQ
PSI	CCCCCCCCCCCCCCCCEEEEEECCCCCHHHHHHHHHHHHCCCCEEEEECCCCCCCCCCEEEEEECCCCCCHHHHHHHHHH CCCCEEEECCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHCCCCCCCCCCCCCCHHHHHHHHHHHHHHHCCCCCCCCCCCC CCHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHHHHHCCEEEECCCCCCHHHHHHHC CCCEECCCEEEECCCCCCCCCCCCHHHHHHCCCCCCCCCHHHHHHHHHHHHCCCCCHHHHHHHHHHEEEEEEEEEECCCC CEEEECCCCCCCHHHHHHHHCCCCCCCCCCHHHHHCCCCCCCCCCEEEEEECCHHHHHHHHHHHHHHCCCCCEEEECCCC CEEEECCCHHH
1PHZ	GQETSYIEDNSNQNGAISLIFSLKEEVGALAKVLRLFEENDINLTHIESRPSRLNkDEYEFFTYLDKRTKPVLGSIIKSL RNDIGATVHELSRDKEKNTVPWFPRTIQELDRFANQI------LDADHPGFKDPVYRARRKQFADIAYNYRHGQPIPRVE YTEEEKQTWGTVFRTLKALYKTHACYEHNHIFPLLEKYCGFREDNIPQLEDVSQFLQTCTGFRLRPVAGLLSSRDFLGGL AFRVFHCTQYIRHGSKPMYTPEPDICHELLGHVPLFSDRSFAQFSQEIGLASLGAPD-EYIEKLATIYWFTVEFGLCKEG DSIKAYGAGLLSSFGELQYCL-SDKPKLLPLELEKTACQEYSVTEFQPLYYVAESFSDAKEKVRTFAATIPRPFSVRYDP YTQRVEVLDNT
PSI	CCCCCCCCCCCCCCCEEEEEEEECCCCCHHHHHHHHHHHCCCEEEEEECCCCCCCCCEEEEEEEECCCCCCCHHHHHHHH HCCCCCCEEECCCCCCCCCCCCCCCCHHHHHHHHHHH------CCCCCCCCCCHHHHHHHHHHHHHCCCCCCCCCCCCCC CCHHHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHCCCCCCCCCCCHHHHHHHHHCCCCEEEECCCCCCHHHHHHHH HCCCCCEECCCCCCCCCCCCCCCCHHHHHCCCCCCCCCHHHHHHHHHHHHHHCCCCH-HHHHHHHHHEEEEEEEEEEEEC CCCEEECCCCCCCCCCCCCCC-CCCCCCCCCCHHHHHCCCCCCCCCCCCEEEECCHHHHHHHHHHHHHHCCCCCCCCCCC CCCEEEECCCC

adjusted alignment of 1TOH

REFERENCE	VPWFPRTIQELDRFANQILSYGAELDADHPGFKDPVYRARRKQFADIAYNYRHGQPIPRVEYMEEEKKTWGTVFKTLKSL YKTHACYEYNHIFPLLEKYCGFHEDNIPQLEDVSQFLQTCTGFRLRPVAGLLSSRDFLGGLAFRVFHCTQYIRHGSKPMY TPEPDICHELLGHVPLFSDRSFAQFSQEIGLASLGAPDEYIEKLATIYWFTVEFGLCKQGDSIKAYGAGLLSSFGELQYC LSEKPKLLPLELEKTAIQNYTVTEFQPLYYVAESFNDAKEKVRNFAATIPRPFSVRYDPYTQRIEVLDNTQQLKILADSI NSEIGILCSALQKIK
PSI	CCCCCCCCCHHHHHHHHHHHCCCCCCCCCCCCCCHHHHHHHHHHHHHHHCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHH HCCCHHHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHHHHHCCEEEECCCCCCHHHHHHHCCCCEECCCEEEECCCCCCC CCCCCHHHHHHCCCCCCCCCHHHHHHHHHHHHCCCCCHHHHHHHHHHEEEEEEEEEECCCCCEEEECCCCCCCHHHHHHH HCCCCCCCCCCHHHHHCCCCCCCCCCEEEEEECCHHHHHHHHHHHHHHCCCCCEEEECCCCCEEEECCCHHHHHHHHHHH HHHHHHHHHHHHHHC
1TOH	VPWFPRKVSELDKC-----------DLDHPGFSDQVYRQRRKLIAEIAFQYKHGEPIPHVEYTAEEIATWKEVYVTLKGL YATHACREHLEGFQLLERYCGYREDSIPQLEDVSRFLKERTGFQLRPVAGLLSARDFLASLAFRVFQCTQYIRHASSPMH SPEPDCCHELLGHVPMLADRTFAQFSQDIGLASLGASD-EEIEKLSTVYWFTVEFGLCKQNGELKAYGAGLLSSYGELLH SL-SEEPEVRAFDPDTAAVQPYQDQTYQPVYFVSESFNDAKDKLRNYASRIQRPFSVKFDPYTLAIDVLDSPHTIQRSLE GVQDELHTLAHALSA
PSI	CCCCCCCCCCCCCC-----------CCCCCCCCHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCHHHHHHHHHHHHHHHHH HHHCCCHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHHHHCCCEEEECCCCCCHHHHHHHHHCCCCCCCCCCCCCCCCCC CCCCCHHHHHHCCCCCCCCHHHHHHHHHHHHHHCCCCHHHHHHHHCEEEEEEEEEEEEECCCCEECCCCCCCCCCHHCCC CCCCCCCCCCCHHHHHCCCCCCCCCCCEEEEECCHHHHHHHHHHHHHHHCCCCCCCCCCCCCCEECCCCHHHHHHHHHHH HHHHHHHHHHHHHHC

Homology modeling with Modeller

Modeller uses three files. The first one contains the used alignment in the PIR-format (see PIR FORMAT). This file should at least contain the sequence of the target, the actual alignment can be calculated by Modeller or specified in this file. The second one is a python script, which tells Modeller which steps it has to perform. There are some examples in /apps/modeller9.9/examples/automodel. And the third file is the pdb-file of the used template. But python seems to be falsely configured on the virtual machines (at least the linux virtual machine with the non-sudo user).

• The used fix of the python installation is described at the software section.
• The Modeller modules were still not importable by Python, that is why it was necessary to reinstall Modeller. The steps for this are described in software section.

In the automated workflow Modeller calculated the alignment by himself (see basic Modeller tutorial). In the adjusted workfow we changed the alignmentfile to match our alignment.

We prepared three files for the modeling with one template(e.g. for 1PHZ).

• The alignment input file, which contains only the reference sequence: pah.ali. This file is the basis for Modellers own alignment to the template.
  >P1;PAH
sequence:reference::::::::
MSTAVLENPGLGRKLSDFGQETSYIEDNCNQNGAISLIFSLKEEVGALAKVLRLFEEN
DVNLTHIESRPSRLKKDEYEFFTHLDKRSLPALTNIIKILRHDIGATVHELSRDKKKD
TVPWFPRTIQELDRFANQILSYGAELDADHPGFKDPVYRARRKQFADIAYNYRHGQPI
PRVEYMEEEKKTWGTVFKTLKSLYKTHACYEYNHIFPLLEKYCGFHEDNIPQLEDVSQ
FLQTCTGFRLRPVAGLLSSRDFLGGLAFRVFHCTQYIRHGSKPMYTPEPDICHELLGH
VPLFSDRSFAQFSQEIGLASLGAPDEYIEKLATIYWFTVEFGLCKQGDSIKAYGAGLL
SSFGELQYCLSEKPKLLPLELEKTAIQNYTVTEFQPLYYVAESFNDAKEKVRNFAATI
PRPFSVRYDPYTQRIEVLDNTQQLKILADSINSEIGILCSALQKIK*

• We splitted the python script in order to be able to modify the alignment file, which was created by Modeller in the first part of the script and used by the second part of the script.

• The python script, which tells Modeller to create an alignment
  from modeller import *

env = environ()
aln = alignment(env)
mdl = model(env, file='../structures/1phz.pdb', model_segment=('FIRST:A','LAST:A'))
aln.append_model(mdl, align_codes='1phz', atom_files='../structures/1phz.pdb')
aln.append(file='pah.ali', align_codes='PAH')
aln.align2d()
aln.write(file='phz.ali', alignment_format='PIR')


• The python script, which tells Modeller to create a model
  from modeller.automodel import *

a = automodel(env, alnfile='phz.ali',
knowns='1phz', sequence='PAH',
assess_methods=(assess.DOPE, assess.GA341))
a.starting_model = 1
a.ending_model = 1
a.make()


For the modeling with multiple templates we used the alignment file described above and a new script (see advanced Modeller tutorial). We used the sturctures of 1MLW, 1TOH, 1PHZ as templates

• from modeller import *
from modeller.automodel import *

env = environ()
aln = alignment(env)

path = '../structures/'
l = (path+'1MLW'+'.pdb', path+'1TOH'+'.pdb', path+'1PHZ'+'.pdb')

for (code) in l:
mdl = model(env, file=code, model_segment=('FIRST:A','LAST:A'))
aln.append_model(mdl, align_codes=code, atom_files=code)
aln.append(file='pah.ali', align_codes='PAH')
aln.align2d()
aln.write(file='mult.ali', alignment_format='PIR')

a = automodel(env, alnfile='mult.ali',
knowns=l, sequence='PAH',
assess_methods=(assess.DOPE,
ssess.GA341))
a.starting_model = 1
a.ending_model = 1
a.make()

Homology modeling with Swissmodel

Standard workflow

The standard workflow of Swissmodel is the automated mode. For this mode only the UniProt accession number or the amino acid sequence of the target protein is required. As an optional parameter it is possible to enter the template structure as well. However, if this field is left blank Swissmodel will search automatically for a suitable template.

The input for all three models is as follows:

Category	Template	Target	Image
> 60% sequence identity	1PHZ Chain: A	P00439 (Phenylalanine-4-hydroxylase)
> 40% sequence identity	1TOH Chain: A	P00439 (Phenylalanine-4-hydroxylase)
< 40% sequence identity	1LTZ Chain: A	P00439 (Phenylalanine-4-hydroxylase)

Workflow with own alignment

The workflow of Swissmodel, where you can use your own alignment, is the automated mode. For this mode the alignment has to be specified. Swissmodel accepts the alignment in different formats. We have chosen FASTA. In a new window you have to specify which FASTA id is the target and which FASTA id is the template. For the template you have to specify the corresponding pdb-id with chain. Afterwards you have to check the updated alignment with respect to the pdb structure.

The screenshots of the workflow for 1phz are shown below.

1. Specify the alignment	2. Specify target and template with structure	3. Checking of the adjusted alignment

Homology modelling with iTasser

Figure 1: screenshot of iTasser workflow with template restriction

Figure 2: screenshot of iTasser workflow with alignment and template restriction

ITasser is a prediction server, which participated in several CASP competitions. It claims of itself to be the best one. The runtime of the jobs is approximately 24 to 48 hours. The server seems to receive a lot of jobs, that is why it is not allowed to add more than one job at a time from the same ip-address. Therefore it is probably not possible to run all six variants described in the task.

iTasser offers several options. For the automated workflow we just specified a template to be used (a screenshot can be seen in figure 1). For the workflow with our adjusted alignment we specified the template with alignment (a screenshot can be seen in figure 2).

The file which was needed for the workflow with the adjusted alignment contains the alignment in FASTA format and the ATOM coordinates of the template:

• >TARGET
  GQETSYIEDNCNQNGAISLIFSLKEEVGALAKVLRLFEENDVNLTHIESRPSRLKKDEYEFFTHLDKRSLPALTN
  IIKILRHDIGATVHELSRDKKKDTVPWFPRTIQELDRFANQILSYGAELDADHPGFKDPVYRARRKQFADIAYNY
  RHGQPIPRVEYMEEEKKTWGTVFKTLKSLYKTHACYEYNHIFPLLEKYCGFHEDNIPQLEDVSQFLQTCTGFRLR
  PVAGLLSSRDFLGGLAFRVFHCTQYIRHGSKPMYTPEPDICHELLGHVPLFSDRSFAQFSQEIGLASLGAPDEYI
  EKLATIYWFTVEFGLCKQGDSIKAYGAGLLSSFGELQYCLSEKPKLLPLELEKTAIQNYTVTEFQPLYYVAESFN
  DAKEKVRNFAATIPRPFSVRYDPYTQRIEVLDNTQQ
  >1phy:A
  GQETSYIEDNSNQNGAISLIFSLKEEVGALAKVLRLFEENDINLTHIESRPSRLNKDEYEFFTYLDKRTKPVLGS
  IIKSLRNDIGATVHELSRDKEKNTVPWFPRTIQELDRFANQI------LDADHPGFKDPVYRARRKQFADIAYNY
  RHGQPIPRVEYTEEEKQTWGTVFRTLKALYKTHACYEHNHIFPLLEKYCGFREDNIPQLEDVSQFLQTCTGFRLR
  PVAGLLSSRDFLGGLAFRVFHCTQYIRHGSKPMYTPEPDICHELLGHVPLFSDRSFAQFSQEIGLASLGAPD-EY
  IEKLATIYWFTVEFGLCKEGDSIKAYGAGLLSSFGELQYCL-SDKPKLLPLELEKTACQEYSVTEFQPLYYVAES
  FSDAKEKVRTFAATIPRPFSVRYDPYTQRVEVLDNT
  
  ATOM 1 N GLY A 19 40.338 -7.649 17.712 1.00117.94 N
  ATOM 2 CA GLY A 19 40.523 -8.622 16.594 1.00119.56 C
  ATOM 3 C GLY A 19 39.585 -8.344 15.430 1.00119.47 C
  ATOM 4 O GLY A 19 39.005 -9.256 14.849 1.00122.09 O
  ...
  ATOM 3284 OG1 THR A 427 12.515 -6.231 40.981 1.00107.96 O
  ATOM 3285 CG2 THR A 427 14.463 -5.654 39.679 1.00107.51 C
  END

Model-refinement with 3D-JigSaw

Without a reference structure it is hard to say which predicted model is the best. There are methods and servers, which try to rank several models. If their performance would be perfect, the modeling of proteins was a solved problem. But their performance is sometimes far from perfect. One of these severs is 3D-Jigsaw. In fact 3D-Jigsaw is a complete protein modeling server which takes the models and tries to improve them and rank them afterwards.

The ranking of the models needs a lot of resources on the JigSaw server. Our goal is to select five of the six models for each group. Therefore we try to kick out models which are too similar. That is why we calculated the pairwise TMScore for the different models of one prediction class and selected only one member of a high-scoring pair.

Selection of models

1phz - sequence identity > 60 %

	modeller	modeller adjusted	swissmodel	swissmodel adjusted	iTasser	iTasser adjusted
modeller	1.0000	0.0941	0.9773	0.0933	0.8911	0.0958
modeller adjusted	0.0885	1.0000	0.0918	0.9808	0.0887	0.8141
swissmodel	0.8845	0.0915	1.0000	0.0906	0.8883	0.0942
swissmodel adjusted	0.0879	0.9808	0.0909	1.0000	0.0877	0.8181
iTasser	0.8911	0.0937	0.9815	0.0932	1.0000	0.0959
iTasser adjusted	0.0902	0.8141	0.0945	0.8181	0.0898	1.0000

The similarity between the models of modeller with adjusted alignment and swissmodel with adjusted alignment is too high. We decided to kick the model of modeller.

1toh - sequence identity > 40 %

	modeller	modeller adjusted	swissmodel	swissmodel adjusted	iTasser	iTasser adjusted
modeller	1.0000	0.0941	0.7839	0.0929	0.5782	0.0910
modeller adjusted	0.0759	1.0000	0.0928	0.9379	0.0812	0.7005
swissmodel	0.5818	0.0926	1.0000	0.0893	0.6602	0.0878
swissmodel adjusted	0.0750	0.9379	0.0895	1.0000	0.0792	0.7118
iTasser	0.5782	0.1008	0.8902	0.0980	1.0000	0.0961
iTasser adjusted	0.0733	0.7005	0.0881	0.7118	0.0779	1.0000

The similarity between the models of modeller with adjusted alignment and swissmodel with adjusted alignment is too high. We decided to kick the model of modeller.

1ltz - sequence identity < 40 %

	modeller	modeller adjusted	swissmodel	swissmodel adjusted	iTasser	iTasser adjusted
modeller	1.0000	0.0898	0.8383	0.0889	0.4521
modeller adjusted	0.0589	1.0000	0.0661	0.9722	0.0592
swissmodel	0.4601	0.0695	1.0000	0.0689	0.4566
swissmodel adjusted	0.0577	0.9722	0.0656	1.0000	0.0601
iTasser	0.4521	0.0941	0.8266	0.0951	1.0000
iTasser adjusted

iTasser is really slow and allows just one request at a time, therefore it was not possible to calculate the model for 1ltz with the adjusted alignment in time.

Evaluation of the calculated models

Selection of the reference structures

We had the following choice of reference structures for PAH:

Entry	Method	Resolution (A)	Chain	Positions
1DMW	X-Ray	2.00	A	118-424
1J8T	X-Ray	1.70	A	103-427
1J8U	X-Ray	1.50	A	103-427
1KW0	X-Ray	2.50	A	103-427
1LRM	X-Ray	2.10	A	103-427
1MMK	X-Ray	2.00	A	103-427
1MMT	X-Ray	2.00	A	103-427
1PAH	X-Ray	2.00	A	117-424
1TDW	X-Ray	2.10	A	117-424
1TG2	X-Ray	2.20	A	117-424
2PAH	X-Ray	3.10	A/B	118-452
3PAH	X-Ray	2.00	A	117-424
4PAH	X-Ray	2.00	A	117-424
5PAH	X-Ray	2.10	A	117-424
6PAH	X-Ray	2.15	A	117-424

All these structures have in common that they did not solve the structure of the whole PAH protein. In addition, there is no complete true apo structure available either. All structures have at least a Fe2+ atom bound. So we defined these structures as our apo structure. Finally, we decided to select 1J8T (apo) and 1J8U (complexed). As mentioned before our apo structure has complexed Fe2+ and our complexed structure is complexed with Fe2+ and BH4 (5,6,7,8-TETRAHYDROBIOPTERIN). The reason for our decision was that both structures are solved from the same group which somehow guaranties a more consistent methodology as if we had selected structures from two different groups. Another reason is the resolution, both structures are the two with the best resolved resolution which is 1.5 Angstrom and 1.7 Angstrom for 1J8U and 1J8T respectively. Finally for more easy comparison, both structures include the same range of amino acids which is from 103 to 427.

Numeric evaluation of the calculated models

Modeller

Description of the quantitative Modeller scores

molpdf (molecular PDF): This measure is the sum of all restrains and is the standard score of Modeller. This score is not absolute which means it can be only used for ranking models from the same alignment. Lower means better for this score. (Source:[1] )

DOPE (Discrete Optimized Protein Energy): "this statistical potential is based on an improved reference state that corresponds to non interacting atoms in a homogeneous sphere with the radius dependent on a sample native structure; it thus accounts for the finite and spherical shape of the native structures". It is an absolute score. Lower means better for this score. (Source: [2])

GA341: "The method uses the percentage sequence identity between the template and the model as a parameter." The range is from 0 to 1. Higher means better. However, this method is not as good as the other described methods to judge the quality of a model. (Source: [3] and [4])

Results

We have chosen three scores to be calculated by Modeller: molpdf, DOPE and GA341

model	molpdf	DOPE	GA341
1phz	2568.91309	-53912.11328	1.00000
1toh	20481.25977	-37609.82031	1.00000
1ltz	6824.36182	-37422.13672	0.98868
1phz with adjusted alignment	2567.52441	-49139.31250	1.00000
1toh with adjusted alignment	1790.78723	-38113.64453	1.00000
1ltz with adjusted alignment	1197.55518	-26429.44531	1.00000
multiple alignment	61561.77344	-29682.17578	0.00012

Swissmodel

Description of the quantitative scores of Swissmodel

QMEAN Z-Score: The QMEAN Z-Scores is basically a score which compares the QMEAN global score of our model with experimentally solved structures (e.g. by X-Ray) of approximately the same size (a difference of +/- 10% is allowed). Higher means better for this score. (Source: [5] and [6])

QMEANscore4: This is the QMEAN global score to judge the overall quality of the calculated model. The score values range from 0 to 1, higher means better. This score basically comprehends information from sub scores which focus on one aspect which are: C_beta interaction energy, all-atom pairwise energy, solvation energy and torsion angle energy. (Source: [7])

Estimated absolute model quality: The first plot in this column shows with grey and black circles the QMEANscore4 of experimentally solved structures. The red cross marks the position of our model in this plot. Hence, it is possible to compare our score to other scores of experimental structures of same size. The second plot of this column is a density plot and shows the distribution of the QMEANscore4 of all experimental structures which were used to calculate the Z-Score. The red line marks the position of our model in this plot (Source: [8])

Score components: This plot shows the Z-Score of different quality measures of a the model. Large negative Z-scores indicate that the quality for this aspect of the model is worse. (Source: [9])

Coloring by residue error: The figure in this column shows the estimated residue error along the 3D structure of the modeled target sequence. Blue means that the residue error is smaller than 1 Angstrom and red parts indicate a residue error greater than > 3.5 Angstrom. (Source: [10])

Residue error plot: "model energy profile with estimated residue errors along the sequence" (Source: [11])

C_beta interaction energy: this value asses the long range interactions, the raw score is a pseudo statistical energy score (lower means better here) and the Z-Scores compares the raw score of our model to experimental structures of same size (higher means better here). (Source: [12])

C_beta interaction energy: this value asses the long range interactions by only using the C-beta atoms of each residue. The raw score is a pseudo statistical energy score (lower means better here) and the Z-Scores compares the raw score of our model to experimental structures of same size (higher means better here). (Source: [13])

All-atom pairwise energy: this value asses the long range interactions by using all atoms of each residue. The raw score is a pseudo statistical energy score (lower means better here) and the Z-Scores compares the raw score of our model to experimental structures of same size (higher means better here). (Source: [14])

Solvation energy: "A solvation potential investigates the burial status of the residues." The raw score is a pseudo statistical energy score (lower means better here) and the Z-Scores compares the raw score of our model to experimental structures of same size (higher means better here). (Source: [15])

Torsion angle energy: This energy score investigates the local geometry by a torsion angle potential over three consecutive residues. The raw score is a pseudo statistical energy score (lower means better here) and the Z-Scores compares the raw score of our model to experimental structures of same size (higher means better here). (Source: [16])

Anolea: "The atomic empirical mean force potential ANOLEA (Melo et al.) is used to assess packing quality of the models. The program performs energy calculations on a protein chain, evaluating the "Non- Local Environment" (NLE) of each heavy atom in the molecule. The y-axis of the plot represents the energy for each amino acid of the protein chain. Negative energy values (in green) represent favourable energy environment whereas positive values (in red) unfavourable energy environment for a given amino acid. " (Source: [17])

QMEAN: "is a composite scoring function for both the estimation of the global quality of the entire model as well as for the local per-residue analysis of different regions within a model." (Source: [18])

Gromos: "GROMOS (van Gunsteren et al.) is a general-purpose molecular dynamics computer simulation package for the study of biomolecular systems and can be applied to the analysis of conformations obtained by experiment or by computer simulation.

The y-axis of the plot represents the energy for each amino acid of the protein chain. Negative energy values (in green) represent favourable energy environment whereas positive values (in red) unfavourable energy environment for a given amino acid. " (Source: [19])

Automated Mode: Modelling with template structure 1phz_A (>60%)

QMEAN Z-Score: -0.828

QMEAN4 global scores:

QMEANscore4	Estimated absolute model quality	Score components
0.715

Local scores:

Coloring by residue error	Residue error plot

Global scores: QMEAN4:

Scoring function term	Raw score	Z-score
C_beta interaction energy	-157.98	-0.16
All-atom pairwise energy	-12503.57	-0.1
Solvation energy	-50.66	1.01
Torsion angle energy	-78.77	-1.48
QMEAN4 score	0.715	-0.83

Local Model Quality Estimation: Anolea / QMEAN / Gromos:

Automated Mode: Modelling with template structure 1toh_A (>40%)

QMEAN Z-Score: -2.745

QMEAN4 global scores:

QMEANscore4	Estimated absolute model quality	Score components
0.604

Local scores:

Coloring by residue error	Residue error plot

Global scores: QMEAN4:

Scoring function term	Raw score	Z-score
C_beta interaction energy	-78.67	-1.16
All-atom pairwise energy	-7899.47	-0.89
Solvation energy	-20.56	-1.3
Torsion angle energy	-47.34	-2.22
QMEAN4 score	0.604	-2.74

Local Model Quality Estimation: Anolea / QMEAN / Gromos:

Automated Mode: Modelling with template structure 1ltz_A (<40%)

QMEAN Z-Score: -4.282

QMEAN4 global scores:

QMEANscore4	Estimated absolute model quality	Score components
0.47

Local scores:

Coloring by residue error	Residue error plot

Global scores: QMEAN4:

Scoring function term	Raw score	Z-score
C_beta interaction energy	-40.25	-2.1
All-atom pairwise energy	-3528.81	-2.29
Solvation energy	-15.22	-1.18
Torsion angle energy	-4.99	-3.78
QMEAN4 score	0.47	-4.28

Local Model Quality Estimation: Anolea / QMEAN / Gromos:

Alignment Mode: Modeling with adjusted alignment 1phz_A (>60%)

QMEAN Z-Score: -2.786

QMEAN4 global scores:

QMEANscore4	Estimated absolute model quality	Score components
0.6

Local scores:

Coloring by residue error	Residue error plot

Global scores: QMEAN4:

Scoring function term	Raw score	Z-score
C_beta interaction energy	-87.10	-1.26
All-atom pairwise energy	-8126.09	-1.51
Solvation energy	-29.98	-0.84
Torsion angle energy	-58.30	-2.39
QMEAN4 score	0.600	-2.79

Local Model Quality Estimation: Anolea / QMEAN / Gromos:

Alignment Mode: Modeling with adjusted alignment 1toh_A (>40%)

QMEAN Z-Score: -4.498

QMEAN4 global scores:

QMEANscore4	Estimated absolute model quality	Score components
0.494

Local scores:

Coloring by residue error	Residue error plot

Global scores: QMEAN4:

Scoring function term	Raw score	Z-score
C_beta interaction energy	-21.70	-2.19
All-atom pairwise energy	-4082.14	-2.32
Solvation energy	-3.04	-3.04
Torsion angle energy	-34.43	-2.83
QMEAN4 score	0.494	-4.50

Local Model Quality Estimation: Anolea / QMEAN / Gromos:

Alignment Mode: Modeling with adjusted alignment 1ltz_A (<40%)

QMEAN Z-Score: -4.673

QMEAN4 global scores:

QMEANscore4	Estimated absolute model quality	Score components
0.447

Local scores:

Coloring by residue error	Residue error plot

Global scores: QMEAN4:

Scoring function term	Raw score	Z-score
C_beta interaction energy	-18.68	-2.69
All-atom pairwise energy	-1884.30	-2.99
Solvation energy	-9.58	-1.72
Torsion angle energy	-7.34	-3.55
QMEAN4 score	0.447	-4.67

Local Model Quality Estimation: Anolea / QMEAN / Gromos:

iTasser

iTasser produces up to five models. For each model it calculates a C-Score. For the best model an estimation of the TM-Score and the RMSD with respect to the native structure are calculated.

"C-score is a confidence score for estimating the quality of predicted models by I-TASSER. It is calculated based on the significance of threading template alignments and the convergence parameters of the structure assembly simulations. C-score is typically in the range of [-5,2], where a C-score of higher value signifies a model with a high confidence and vice-versa." (source: scores by iTasser)

Model	C-Score	estimated TM-score	estimated RMSD
1phz	0.150	0.73±0.11	6.8±4.0Å
1toh	0.074	0.72±0.11	6.9±4.1Å
1ltz	-0.380	0.66±0.13	7.9±4.4Å
1phz adjusted	1.650	0.95±0.05	3.5±2.4Å
1toh adjusted	1.944	0.99±0.04	2.6±1.9Å
1ltz adjusted	2.053	0.99±0.04	1.7±1.5Å

The upper and lower bounds of the RMSD and TM-Score estimations of the unadjusted alignments are between nonsense and quite good. It is hard to say, if the model is good regarding only these vague estimations. For the adjusted alignments the estimated deviations of these scores are much smaller. Regarding these scores the models of the adjusted alignments were highly improved.

3D-JigSaw

3D-JigSaw works in iterations. In each iteration new models are calculated.

In the output 3D-JigSaw gives a plot of the energy of the calculated models in the different generations (this seems to be normalized, such that the lowes predicted energy is mapped to zero). Therefore one can see in which generation the models hit the the zero energy. This can be regarded as a measure of the difficulty to model the target sequence with the given models. The easier the earliar this value will be reached.

For each selected model in the final output, 3D-JigSaw gives the energy of the model itself, the coverage of the model and the target sequence, where the model starts in the target sequence and where it ends.

Additionally 3D-JigSaw calculates the ramachandran plot for each of the final models. This plot shows how often it was not possible to model a peptide bond, such that its phi- and psi-angle lie in the defined areas of the ramachandran plot. Together with the predicted energy of the model the user can estimate the quality of the model.

In one run the energies of the final models are quite the same. Comparing the different runs the models of 1phz have lower energies than the models of 1toh, which have lower energies than the models of 1ltz. Which indicates that it was possible to calculate more accurate models with initial models to templates of higher sequence identity.

1phz - sequence identity > 60 %

MODEL	ENERGY	COVERAGE	START	END	RAMACHANDRAN PLOT
MODEL_1	-638.18	1.00	1	452
MODEL_2	-637.27	1.00	1	452
MODEL_3	-634.89	1.00	1	452
MODEL_4	-634.77	0.96	19	452
MODEL_5	-632.78	1.00	1	452

1toh - sequence identity > 40 %

MODEL	ENERGY	COVERAGE	START	END	RAMACHANDRAN PLOT
MODEL_1	-557.84	1.00	1	452
MODEL_2	-557.83	1.00	1	452
MODEL_3	-556.11	1.00	1	451
MODEL_4	-548.57	1.00	1	452
MODEL_5	-547.22	1.00	1	452

1ltz - sequence identity < 40 %

MODEL	ENERGY	COVERAGE	START	END	RAMACHANDRAN PLOT
MODEL_1	-492.57	1.00	1	452
MODEL_2	-490.72	1.00	1	452
MODEL_3	-489.81	1.00	1	452
MODEL_4	-489.75	1.00	1	452
MODEL_5	-489.73	1.00	1	452

Comparison to experimental structure

To calculate the C-alpha RMSD we used DaliLite. Later we changed to the command line tool sap file1.pdb file2.pdb.

To calculate the TM-Score we used the TM-score webservice from the University of Michigan alternative. Later we changed to the command line tool TMS model.pdb native.pdb.

To calculate the RMSD of the 6A radius of the catalytic center we had to first identify the catalytic center. We defined the center position of the catalytic side as the position where our Fe2+ atom is. With the position in hand we now have to extract the residues in a 6A radius around this Fe2+ atom. In order to do so we executed the following steps:

• We opened the complexed or apo structure and one of the modeled structures with Pymol.
• Then we aligned both structures to each other
• Then we selected the Fe2 atom of the apo/complexed structure and expanded this selection by 6A, residue
• Then we extracted the selected residues into two objects each object contains only the residues of either the apo/complexed structure or the modeled structure
• Then we saved both objects in seperate PDB structures
• Now we used the rms.pl script to calculate the all atom RMSD with the following command "./rms.pl -out all first.pdb second.pdb". This script is already installed in /apps/bin and can be called in the commandline by rms.pl.

We had a lot of models, therefore it was useful to write a program to do the evaluation automatically (sourcecode).

Modeller

Standard Workflow

Template Structure	Compared To	Apo/Complexed	C-alpha RMSD	TM score	All Atoms RMSD, 6A
1PHZ Chain: A	1J8T	Apo	0.9	0.9711	0.276
1PHZ Chain: A	1J8U	Complexed	0.9	0.6494	0.271
1TOH Chain: A	1J8T	Apo	1.9	0.6502	0.282
1TOH Chain: A	1J8U	Complexed	1.9	0.8850	0.242
1LTZ Chain: A	1J8T	Apo	2.3	0.6986	1.638
1LTZ Chain: A	1J8U	Complexed	2.3	0.6985	1.581
Multiple	1J8T	Apo	2.1	0.1886	3.814
Multiple	1J8U	Complexed	2.1	0.1879	3.809

Adjusted Alignment Workflow

Template Structure	Compared To	Apo/Complexed	C-alpha RMSD	TM score	All Atoms RMSD, 6A
1PHZ Chain: A	1J8T	Apo	1.0	0.1957	0.298
1PHZ Chain: A	1J8U	Complexed	1.0	0.1954	0.310
1TOH Chain: A	1J8T	Apo	1,1	0.1592	0.276
1TOH Chain: A	1J8U	Complexed	1.1	0.1592	0.328
1LTZ Chain: A	1J8T	Apo	1.7	0.1021	3.562
1LTZ Chain: A	1J8U	Complexed	1.7	0.1020	0.832

Swissmodel

Standard Workflow

Template Structure	Compared To	Apo/Complexed	C-alpha RMSD	TM score	All Atoms RMSD, 6A
1PHZ Chain: A	1J8T	Apo	0.9	0.7400	0.5162
1PHZ Chain: A	1J8U	Complexed	0.9	0.7408	0.5154
1TOH Chain: A	1J8T	Apo	1.3	0.8889	0.4616
1TOH Chain: A	1J8U	Complexed	1.2	0.8894	0.3361
1LTZ Chain: A	1J8T	Apo	2.3	0.8816	0.9225
1LTZ Chain: A	1J8U	Complexed	2.3	0.8814	0.9208

Adjusted Alignment Workflow

Template Structure	Compared To	Apo/Complexed	C-alpha RMSD	TM score	All Atoms RMSD, 6A
1PHZ Chain: A	1J8T	Apo	0.645	0.0880	0.355
1PHZ Chain: A	1J8U	Complexed	0.615	0.0878	0.267
1TOH Chain: A	1J8T	Apo	0.996	0.0894	0.227
1TOH Chain: A	1J8U	Complexed	0.993	0.0894	0.262
1LTZ Chain: A	1J8T	Apo	1.542	0.0782	1.204
1LTZ Chain: A	1J8U	Complexed	1.542	0.0790	3.839

iTasser

Standard Workflow

Template Structure	Compared To	Apo/Complexed	C-alpha RMSD	TM score	All Atoms RMSD, 6A
1PHZ Chain: A	1J8T	Apo	0.722	0.6596	0.241
1PHZ Chain: A	1J8U	Complexed	0.698	0.6604	0.279
1TOH Chain: A	1J8T	Apo	0.749	0.6571	0.299
1TOH Chain: A	1J8U	Complexed	0.731	0.6578	0.297
1LTZ Chain: A	1J8T	Apo	0.644	0.6606	0.374
1LTZ Chain: A	1J8U	Complexed	0.610	0.6620	0.351

Adjusted Alignment Workflow

Template Structure	Compared To	Apo/Complexed	C-alpha RMSD	TM score	All Atoms RMSD, 6A
1PHZ Chain: A	1J8T	Apo	0.829	0.0903	0.424
1PHZ Chain: A	1J8U	Complexed	0.816	0.0909	0.441
1TOH Chain: A	1J8T	Apo	0.720	0.0875	0.449
1TOH Chain: A	1J8U	Complexed	0.671	0.0873	0.416
1LTZ Chain: A	1J8T	Apo	1.382	0.0776	0.700
1LTZ Chain: A	1J8U	Complexed	1.372	0.0775	0.851

3D JigSaw

1phz

Template Structure	Compared To	Apo/Complexed	C-alpha RMSD	TM score	All Atoms RMSD, 6A
Model 1	1J8T	Apo	1.121	0.6466	0.237
Model 1	1J8U	Complexed	1.106	0.6475	0.439
Model 2	1J8T	Apo	1.055	0.6422	0.265
Model 2	1J8U	Complexed	1.040	0.6428	0.310
Model 3	1J8T	Apo	1.035	0.6340	0.261
Model 3	1J8U	Complexed	1.025	0.6347	0.277
Model 4	1J8T	Apo	1.069	0.6664	0.450
Model 4	1J8U	Complexed	1.063	0.6670	0.512
Model 5	1J8T	Apo	1.055	0.6422	0.251
Model 5	1J8U	Complexed	1.040	0.6428	0.369

1toh

Template Structure	Compared To	Apo/Complexed	C-alpha RMSD	TM score	All Atoms RMSD, 6A
Model 1	1J8T	Apo	5.443	0.5090	0.734
Model 1	1J8U	Complexed	5.453	0.5095	0.766
Model 2	1J8T	Apo	5.443	0.5090	0.734
Model 2	1J8U	Complexed	5.453	0.5095	0.766
Model 3	1J8T	Apo	4.832	0.4450	1.879
Model 3	1J8U	Complexed	4.838	0.4456	0.276
Model 4	1J8T	Apo	3.262	0.5717	0.432
Model 4	1J8U	Complexed	3.258	0.5722	0.453
Model 5	1J8T	Apo	3.137	0.5708	0.432
Model 5	1J8U	Complexed	3.128	0.5715	0.453

1ltz

Template Structure	Compared To	Apo/Complexed	C-alpha RMSD	TM score	All Atoms RMSD, 6A
Model 1	1J8T	Apo	2.538	0.6247	0.344
Model 1	1J8U	Complexed	2.528	0.6255	0.361
Model 2	1J8T	Apo	2.540	0.6244	0.358
Model 2	1J8U	Complexed	2.531	0.6255	0.385
Model 3	1J8T	Apo	2.540	0.6244	0.358
Model 3	1J8U	Complexed	2.531	0.6255	0.384
Model 4	1J8T	Apo	2.541	0.6244	0.349
Model 4	1J8U	Complexed	2.531	0.6255	0.377
Model 5	1J8T	Apo	2.540	0.6244	0.349
Model 5	1J8U	Complexed	2.531	0.6255	0.377

Discussion

Figure 3: image of the model of modeller with multiple targets

Our chosen templates were not that easy for homology modelling. Phenylalanine hydroxylase contains two domains Biopterin_H and ACT. Only 1phz contains both domains. All three templates have large gaps in the Biopterin_H domain, especially in 1ltz the first part of the domain seems to be missing.

Modeller was the fastest method and relatively easy to handle. But it has several drawbacks. The alignment by Modeller is sometimes far from good. For example the Biopterin_H domain of 1ltz was splitted by Modeller. This is also reflected by the low TM-Scores of 1ltz and 1toh. But it was also relatively easy to improve the alignment, such that the alignments are much more similar to the family prediction by PFAM. For 1phz the alignment was almost perfect and only small adjustments were necessary. For the other two templates we deleted large parts at the beginning and at the end of the target, which were not covered by the templates. Most modeling methods tend to do nonsense especially at the beginning and end of a model, if there is no information given by the template (one kind of possible nonsense is shown in Figure 3). All three adjusted alignments are shorter than the target sequence. Therefore the TM-score in the experimental validation is not reliable, because it is dependent of the model length. Regarding the RMSD and the RMSD of the residues around the Fe in the native structures, the adjustment of the alignments was at least for 1ltz and 1toh very successful. In our opinion the adjustment of an alignment is almost always wise, but it is especially crucial for templates with low sequence identity. We tried to use the automated workflow of Modeller with multiple templates. Even with templates with high sequence identity to the target, the created model was obviously not reasonable. That is why we did not use any of these multiple template models.

Swissmodel was run in the server version. The modeling took less than ten minutes. Regarding the RMSD and the RMSD of the residues around the Fe in the native structures the usage of the adjusted alignments seems to improve the modeling. It surprised that Swissmodel performed better for the low identity templates than Modeller. But created for 1phz a model worse than that of Modeller. Perhaps Swissmodel does to much in the automatic workflow and loses information of templates with high sequence identity.

iTasser ran for about 2 days per model. Users are only allowed to upload one request at a time. Therefore iTasser was no fun. iTasser seems to do a lot of stuff. Therefore the models were worse with our adjusted alignments. But over all the models of the automated iTasser workflow are not that good. Adjusted models of Modeller and SwissModel are better in the RMSD and Fe-RMSD. The TM-Score is always below the automated workflow models of Modeller and SwissModel. This result was surprising, because iTasser is known from the CASP contest to be at the top of the automated prediction servers. Perhaps simple homology modeling and manually curated alignments are more powerful than these servers.

The results of 3D-jigsaw are quite disappointing. It looks as if 3d-jigsaw was too much influenced by the iTasser models. Perhaps with another set of models 3d-jigsaw would be more reasonable. But at least it was not able to distinguish the "good" models of the "bad" models in the sets and therefore it is doubtful that in praxis it would perform better. Users usually do not know how good or bad their models are and that is why they use such a server. The ranking of the chosen models is not really analyzable, because all the produced models are almost of the same quality. A cool feature of 3D-JigSaw is the ramachandran plot, which is calculated for the several models. With the ramachandran plot one can check if the Phi- and Psi-angles of the peptide-bonds are in defined areas or how often the model seems to break the restrictions in these angles.