A utility package to generate 3D residue distance graph
Project description
residuecontact - A utility package to generate 3D residue distance graph
The residue-contact package provides a set of utilities for generating 3D residue distance graph from PDB files.
Quick Run
from residuecontact import get_sifts_pdbresidue_to_uniprot_map, build_PDB_residues_connection_graph
import os
spmap = get_sifts_pdbresidue_to_uniprot_map("pdbresiduemapping.txt")
build_PDB_residues_connection_graph(
["1HIP.pdb"], # A list of files, or PDB structures, or structure from PDB bundles
spmap, # A dictionary of PDB residue ID to Uniprot residue ID
10, # The maximum distance between two residues to be put in the graph. Note that generating a full distance matrix is very memory intensive.
"CA", # CA or all. When measuring distance between two residues res-A and res-B, whether to use the distance between the two c-alpha atoms from res-A and res-B, or the shortest distance of all pairs of atoms between res-A and res-B.
"intra", # intra or inter or all.
lambda i: os.path.basename(i).split(".")[0],
output="1HIP_graph.graphml"
)
Detailed usage
To generate a graph, we need (1) a dictionary of PDB residue ID to uniprot residue ID; and (2) the 3D structure files (in PDB format)
Preparation of PDB residue map
Users could generate their own dictionary, with keys as PDBID_CHAINID_RESSEQ; and value as UNIPROTID_SEQ.
Here we provide two methods to process the map from sifts and alphafold.
from residuecontact import get_sifts_pdbresidue_to_uniprot_map, get_alphafold_pdbresidue_to_uniprot_map
spmap_sifts = get_sifts_pdbresidue_to_uniprot_map("pdbresiduemapping.txt")
spmap_alphafold = get_alphafold_pdbresidue_to_uniprot_map("alphafold2residuemapping.txt")
Example of pdbresiduemapping
file:
PDB Chain UniProt MappableResInPDBChainOnUniprotBasis MappableResInPDBChainOnPDBBasis
1HIP A P00260 [38-47,49-81,83-122] [1-10,12-44,46-85]
5UFW A P03372 [309-380,382-416,418-461,465-529,531-535,537-548] [309-380,382-416,418-461,465-529,531-535,537-548]
5UFW B P03372 [306-337,341-380,382-416,418-460,470-529,531-535,537-546] [306-337,341-380,382-416,418-460,470-529,531-535,537-546]
2LQ8 A P29397 [1-41,230-353] [3-43,54-177]
Example of alphafold2residuemapping
file:
UniProt Species Gene Structure Fragment_Num Total_Fragments Avg_pLDDT Avg_Confidence PDB_Resi UniProt_Resi Total_Resi N_Very_High Very_High_Resi N_High High_Resi N_Low Low_Resi N_Very_Low Very_Low_Resi
A0A0A7EPL0 ARATH PIAL1 AF-A0A0A7EPL0-F1-model_v1.pdb.gz 1 1 56.94 Low [1-847] [1-847] 847 239 [22,24-40,47-48,51,71-94,117-144,150-156,166-174,177-202,209-247,254-258,277-347,351-356,362-364] 89 [16-21,23,41-46,49-50,52-70,95-101,115-116,145-149,157-162,164-165,175-176,203-208,248-253,259-261,271-276,348-350,357-361,365-366] 31 [1-15,102-107,113-114,163,262-263,268-270,367,382] 488 [108-112,264-267,368-381,383-847]
A0A140JWM8 ARATH C7162 AF-A0A140JWM8-F1-model_v1.pdb.gz 1 1 92.29 Very High [1-473] [1-473] 473 350 [28-39,44-69,73-78,81-104,106,138-189,194-195,197-205,216-217,219-249,258-259,277-278,281-320,324-416,419-448,452-455,458-471] 115 [1-27,40-43,70-72,79-80,105,107-116,125-137,190-193,196,206-215,218,250-257,260-276,279-280,321-323,417-418,449-451,456-457,472-473] 6 [117-119,122-124] 2 [120-121]
Preparation of input structures
For legacy PDB files, one could directly use the files as input.
input_structures = ["1HIP.pdb"]
Larger structures are not supported by legacy PDB format, and they were packed in bundle. To read a bundle file, use the following:
structure = PDB_bundle_structure(*(extract_PDB_bundle("7a01-pdb-bundle.tar.gz")))
input_structures = [structure]
One could input multiple structures at the same time, and only the shortest distance is reported:
input_structures = ["1HIP.pdb", "4MZI.pdb"]
Graph generation
from residuecontact import build_PDB_residues_connection_graph
build_PDB_residues_connection_graph(
pdbfiles=["1HIP.pdb"], # A list of files, or PDB structures, or structure from PDB bundles
spmap, # A dictionary of PDB residue ID to Uniprot residue ID
10,
"CA",
"all",
pdb_id_func=lambda i: os.path.basename(i).split(".")[0],
residue_subset=None,
extra_residue_filter=None,
output="1HIP_graph.graphml"
)
pdbfiles: A list of PDB files (or Structures)
spmap: A dictionary to map pdb residue into uniprot residue, with key as PDBID_CHAINID_RESSEQ, value as UNIPROTID_SEQ
max_distance: Maximum distance between any two residues as connected. One can set a large maximum distance to capture a full distance matrix, but generating a full matrix is very memory intensive.
atommode: calpha/ca or all. When measuring distance between two residues res-A and res-B, whether to use the distance between the two c-alpha atoms from res-A and res-B, or the shortest distance of all pairs of available atoms between res-A and res-B. Distance calculated based on all atoms are always smaller than or equal to that based on only calpha atoms.
chainmode: all or inter or intra. When set to Intra, only pairs of residues from the same chain are analyzed. When set to Inter, only pairs of residues from different chains are analyzed. When set to All, all pairs of residues are analyzed.
pdb_id_func: Convert pdbfile to pdb_id. Not required if a list of structures is provided in pdbfiles
residue_subset: A subset of residues to include.
extra_residue_filter: A filter to remove certain residues that meet the criteria. For example, residue with a high uncertainty in its position in the structure could be removed from the analysis to avoid noise.
output: The output graph file in graphml format
Output
The output graph is in graphml format.
Each node has an attribute of ID which correspond to the uniprot residues.
<node id="P36217_204"/>
Each edge has the source and target nodes, and has two additional fields (d1) source field refers to the PDB residue pairs with the shortest distance, and the (d0) distance field refers to the distance between the residue pairs.
<edge source="P36217_204" target="P36217_80">
<data key="d0">7.443631014932368</data>
<data key="d1">P36217_204:5ZIW_A_171;P36217_80:5ZIW_A_47</data>
</edge>
Graph merging
When multiple structures are used to determine the closest distance between two uniprot residues, the graph generated previously can be merged as one by using the following:
from residuecontact import merge_PDB_residues_connection_graphs
merged_graph = merge_PDB_residues_connection_graphs([graph1, graph2])
Validation
When you want to quickly find out the shortest distances of selected pairs of PDB residues, one could use the following:
from residuecontact import find_PDB_residues_distances_separated_by_models
find_PDB_residues_distances_separated_by_models("1HIP", "1HIP.pdb", pairs, "CA")
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