Rebuilding sequence databases: Difference between revisions
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__NOTOC__ | __NOTOC__ | ||
<!-- ## page was renamed from Rebuilding_sequence_databases --> | <!-- ## page was renamed from Rebuilding_sequence_databases --> | ||
Older versions of the Modeller distribution contain a sequence database, in the files | Older versions of the Modeller distribution contain a sequence database, in the files <code>modlib/CHAINS_*</code>. These files are | ||
* | * <code>CHAINS_all.seq</code> or <code>pdball.pir</code>: sequences for every chain in every structure in the PDB. | ||
* | * <code>CHAINS_3.0.95_XN.cod</code> or <code>pdb_95.cod</code>: all chains are clustered at 95% sequence identity, and for each cluster, the PDB code of the representative chain is listed in this file. | ||
* | * <code>CHAINS_3.0.95_XN.grp</code> or <code>pdb_95.grp</code>: for each representative, the other chains which are 95% sequence identical. | ||
* | * <code>CHAINS_3.0.40_XN.cod</code> and <code>CHAINS_3.0.40_XN.grp</code>: similar files, clustered at 40% sequence identity. | ||
These files are obviously not updated whenever the PDB is, and are not included at all with newer versions of Modeller, but you can download updated copies from our [https://salilab.org/modeller/supplemental.html supplemental data file download page], or regenerate them yourself if you have a local copy of PDB. Firstly, to build | These files are obviously not updated whenever the PDB is, and are not included at all with newer versions of Modeller, but you can download updated copies from our [https://salilab.org/modeller/supplemental.html supplemental data file download page], or regenerate them yourself if you have a local copy of PDB. Firstly, to build <code>CHAINS_all.seq</code> or <code>pdball.pir</code>: | ||
For each PDB file, run a script similar to that below. Set <code>code</code> to the PDB code and set <code>atom_files_directory</code> to the directory containing your local copy of PDB: | |||
< | <syntaxhighlight lang="python"> | ||
from modeller import * | from modeller import * | ||
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chop_nonstd_termini=True, max_nonstdres=10, | chop_nonstd_termini=True, max_nonstdres=10, | ||
minimal_resolution=99.0, structure_types='structureN structureX') | minimal_resolution=99.0, structure_types='structureN structureX') | ||
</ | </syntaxhighlight> | ||
This will produce a <code>.chn</code> file for every chain in PDB. Concatenate these together (e.g. with the Unix <code>cat</code> command) to make the new <code>CHAINS_all.seq</code> or <code>pdball.pir</code> file. | |||
Now you can build the | Now you can build the <code>.cod</code> and <code>.grp</code> files for any sequence identity cutoff using the following script (adjust the <code>seqid_cut</code> variable accordingly): | ||
< | <syntaxhighlight lang="python"> | ||
from modeller import * | from modeller import * | ||
Line 41: | Line 42: | ||
gap_penalties_1d=(-500, -50), seqid_cut=40, | gap_penalties_1d=(-500, -50), seqid_cut=40, | ||
output_grp_file='CHAINS_3.0.40_XN.grp', output_cod_file='CHAINS_3.0.40_XN.cod') | output_grp_file='CHAINS_3.0.40_XN.grp', output_cod_file='CHAINS_3.0.40_XN.cod') | ||
</ | </syntaxhighlight> | ||
Note that this will take a long time to run. For high (>90%) sequence identity cutoffs, it is more efficient to use [http://weizhongli-lab.org/cd-hit/ CD-HIT] instead. A script that automates this is included as part of [https://salilab.org/modpipe/ ModPipe] ( | Note that this will take a long time to run. For high (>90%) sequence identity cutoffs, it is more efficient to use [http://weizhongli-lab.org/cd-hit/ CD-HIT] instead. A script that automates this is included as part of [https://salilab.org/modpipe/ ModPipe] (<code>python/ClusterPDB.py</code>). | ||
[[Category:Examples]] |
Latest revision as of 21:17, 16 August 2022
Older versions of the Modeller distribution contain a sequence database, in the files modlib/CHAINS_*
. These files are
CHAINS_all.seq
orpdball.pir
: sequences for every chain in every structure in the PDB.CHAINS_3.0.95_XN.cod
orpdb_95.cod
: all chains are clustered at 95% sequence identity, and for each cluster, the PDB code of the representative chain is listed in this file.CHAINS_3.0.95_XN.grp
orpdb_95.grp
: for each representative, the other chains which are 95% sequence identical.CHAINS_3.0.40_XN.cod
andCHAINS_3.0.40_XN.grp
: similar files, clustered at 40% sequence identity.
These files are obviously not updated whenever the PDB is, and are not included at all with newer versions of Modeller, but you can download updated copies from our supplemental data file download page, or regenerate them yourself if you have a local copy of PDB. Firstly, to build CHAINS_all.seq
or pdball.pir
:
For each PDB file, run a script similar to that below. Set code
to the PDB code and set atom_files_directory
to the directory containing your local copy of PDB:
from modeller import *
e = Environ()
e.io.atom_files_directory = ['/database/pdb/']
code = '1xyz'
m = Model(e, file=code)
m.make_chains(file=code, minimal_chain_length=30, minimal_stdres=30,
chop_nonstd_termini=True, max_nonstdres=10,
minimal_resolution=99.0, structure_types='structureN structureX')
This will produce a .chn
file for every chain in PDB. Concatenate these together (e.g. with the Unix cat
command) to make the new CHAINS_all.seq
or pdball.pir
file.
Now you can build the .cod
and .grp
files for any sequence identity cutoff using the following script (adjust the seqid_cut
variable accordingly):
from modeller import *
e = Environ()
s = SequenceDB(e, seq_database_file='CHAINS_all.seq', chains_list='all',
seq_database_format='PIR', minmax_db_seq_len=(30, 3000),
clean_sequences=True)
s.filter(matrix_offset=-450, rr_file='${LIB}/blosum62.sim.mat',
gap_penalties_1d=(-500, -50), seqid_cut=40,
output_grp_file='CHAINS_3.0.40_XN.grp', output_cod_file='CHAINS_3.0.40_XN.cod')
Note that this will take a long time to run. For high (>90%) sequence identity cutoffs, it is more efficient to use CD-HIT instead. A script that automates this is included as part of ModPipe (python/ClusterPDB.py
).