Difference between revisions of "Sequence and multiple alignments"
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!colspan="4"| 99-90% Sequence Identity |
!colspan="4"| 99-90% Sequence Identity |
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+ | |AAG29575.1||91%|| BLAST || xxx |
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+ | |1A6Z||90%|| BLAST || xxx |
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+ | |XP_002816556.1||97.4%|| FASTA || xxx |
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+ | |BAG62562.1||%||FASTA || xxx |
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+ | |AAH74721.1||%|| FASTA|| xxx |
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!colspan="4"| 89-60% Sequence Identity |
!colspan="4"| 89-60% Sequence Identity |
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!colspan="4"| 39-20% Sequence Identity |
!colspan="4"| 39-20% Sequence Identity |
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+ | |AAA39567.1||33%|| FASTA || H-2D cell surface glycoprotein |
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− | |xxx||%|| xxx || xxx |
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+ | |NP_001029503.1||34%|| BLAST || zinc-alpha-2-glycoprotein precursor |
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− | |xxx||%|| xxx || xxx |
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+ | |CAB56609.1||37%|| BLAST || human leucocyte antigen A |
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+ | |CAF18417.1||36%|| BLAST || MHC class I antigen |
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+ | |ACX42646.1||35.7%|| FASTA || MHC class I antigen |
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Revision as of 18:48, 23 May 2011
Sequence Alignments
Database search
We used different tools for the search in a non-reduntant(NR) database like BLAST, FASTA and PSI-BLAST. Because of the absence of the database in a hmm format, we decided not to integrate the hhpred web-results. These results are not compareable.
We called BLAST and FASTA with the standart parameter.
blast -p blastp -i 1a6z.fasta -d /data/nr/nr -o blastp_1a6z_on_NR.txt runtime 5:34
../../Desktop/fasta-36.3.4/bin/fasta36 -q 1a6z.fasta /data/nr/nr >fasta_1a5z_on_nr.txt the runtime was 10:44.
PSI-BLAST was used with different parameter settings.
blastpgp -i 1a6z.fasta -d /data/nr/nr runtime 21:40
blastpgp -i 1a6z.fasta -d /data/nr/nr -j 6 -e 10E-6 > psiblast_on_NR_itera3_e-val_10E-6.txt runtime 23:49
blastpgp -i 1a6z.fasta -d /data/nr/nr -j 3 -e 10E-6 > psiblast_on_NR_itera6_e-val_10E-6.txt runtime 15:08
blastpgp -i 1a6z.fasta -d /data/nr/nr -j 3 > psiblast_on_NR_itera3.txt runtime 9:41
blastpgp -i 1a6z.fasta -d /data/nr/nr -j 6 > psiblast_on_NR_itera6.txt runtime 23:30
We also compared the runtime of the different tools. For PSI-BLAST, in our case, the e-Value and the number of iterations had no impact on the results.
Multiple Alignments
Used Sequences
SeqIdentifier | Seq Identity | source | Protein function |
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99-90% Sequence Identity | |||
AAG29575.1 | 91% | BLAST | xxx |
1A6Z | 90% | BLAST | xxx |
XP_002816556.1 | 97.4% | FASTA | xxx |
BAG62562.1 | % | FASTA | xxx |
AAH74721.1 | % | FASTA | xxx |
89-60% Sequence Identity | |||
xxx | % | xxx | xxx |
xxx | % | xxx | xxx |
xxx | % | xxx | xxx |
xxx | % | xxx | xxx |
xxx | % | xxx | xxx |
59-40% Sequence Identity | |||
xxx | % | xxx | xxx |
xxx | % | xxx | xxx |
xxx | % | xxx | xxx |
xxx | % | xxx | xxx |
xxx | % | xxx | xxx |
39-20% Sequence Identity | |||
AAA39567.1 | 33% | FASTA | H-2D cell surface glycoprotein |
NP_001029503.1 | 34% | BLAST | zinc-alpha-2-glycoprotein precursor |
CAB56609.1 | 37% | BLAST | human leucocyte antigen A |
CAF18417.1 | 36% | BLAST | MHC class I antigen |
ACX42646.1 | 35.7% | FASTA | MHC class I antigen |
The sequences with <20% and >99% sequence identitiy were ignored and 5 samples were randomly picked from the other ranges. So 20 sequences were available for the multiple alignments. Unfortunately no sequences in the range between 99-90% with known 3D-structure were found, so only sequences without known structure were used here.