Difference between revisions of "Lab journal"

From Bioinformatikpedia
Line 2: Line 2:
   
 
immunoglobulin
 
immunoglobulin
#=GS HFE_HUMAN/211-294 DR PDB; 1A6Z A; 189-272;
+
\#=GS HFE_HUMAN/211-294 DR PDB; 1A6Z A; 189-272;
   
   
 
mhc class 1
 
mhc class 1
#=GS HFE_HUMAN/26-202 DR PDB; 1A6Z A; 4-180;
+
\#=GS HFE_HUMAN/26-202 DR PDB; 1A6Z A; 4-180;
 
4- 180
 
4- 180
   

Revision as of 00:00, 14 June 2013

Multiple sequence alignment

immunoglobulin \#=GS HFE_HUMAN/211-294 DR PDB; 1A6Z A; 189-272;


mhc class 1 \#=GS HFE_HUMAN/26-202 DR PDB; 1A6Z A; 4-180; 4- 180

we downloaded the alignments in fasta format. Therefore, we first formatted the alignment to fasta format and then downloaded the .txt file. The alignment were formatted with a2m2aln:

/usr/share/freecontact/a2m2aln -q '^HFE_HUMAN/(\d+)' --quiet < imm.txt > imm.aln /usr/share/freecontact/a2m2aln -q '^HFE_HUMAN/(\d+)' --quiet < mhc.txt > mhc.aln /usr/share/freecontact/a2m2aln -q '^RASH_HUMAN/(\d+)' --quiet < ras.txt > ras.aln

Calculate and analyze correlated mutations

freecontact with standard parameters and evfold as output format this was done with the following command:


freecontact -o evfold < imm.aln > imm_contacts.out freecontact -o evfold < mhc.aln > mhc_contacts.out freecontact -o evfold < ras.aln > ras_contacts.out

Calculate structural models