add cleanATOM
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@@ -9,7 +9,7 @@
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@version :1.0
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'''
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# micromamba create -n modeller modeller biopython pymol-open-source biopandas requests -y -c conda-forge -c salilab
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# modeller注册码:MODELIRANJE
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# modeller注册码:MODELIRANJE (<conda_env>//lib/modeller-10.4/modlib/modeller/config.py)
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from dataclasses import dataclass, field
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from Bio.PDB import PDBParser
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from Bio.SeqUtils import seq1
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@@ -23,6 +23,7 @@ from Bio import SeqIO
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import requests
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from copy import deepcopy
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from pymol import cmd
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import os
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@dataclass
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class PDBAnalyzer:
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@@ -51,6 +52,31 @@ class PDBAnalyzer:
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self.protein_state = 'Holo' if 'HETATM' in self.biodata.df.keys() else 'Apo'
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self.chain_id_list = self.biodata.df['ATOM']['chain_id'].drop_duplicates().to_list()
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def cleanATOM(self, out_file=None, ext="_clean.pdb") -> Path: # from pyrosetta.toolbox import cleanATOM
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"""Extract all ATOM and TER records in a PDB file and write them to a new file.
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Args:
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pdb_file (str): Path of the PDB file from which ATOM and TER records
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will be extracted
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out_file (str): Optional argument to specify a particular output filename.
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Defaults to <pdb_file>.clean.pdb.
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ext (str): File extension to use for output file. Defaults to ".clean.pdb"
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"""
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pdb_file = self.path.as_posix()
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# find all ATOM and TER lines
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with open(pdb_file, "r") as fid:
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good = [l for l in fid if l.startswith(("ATOM", "TER"))]
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# default output file to <pdb_file>_clean.pdb
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if out_file is None:
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out_file = os.path.splitext(pdb_file)[0] + ext
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# write the selected records to a new file
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with open(out_file, "w") as fid:
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fid.writelines(good)
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return Path(out_file)
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def check_continuity(self, chain, missing_char):
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"""
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Check the continuity of residues in a protein chain.
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@@ -370,17 +396,25 @@ def import_and_merge_pdb_strings(pdb_strings, merged_object_name, output_file):
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# 保存合并后的对象
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cmd.save(output_file, merged_object_name)
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if __name__ == "__main__":
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# import argparse
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# parser = argparse.ArgumentParser(description="Build model by Modeller")
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# parser.add_argument("-s", "--structure", help="Structure file")
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# parser.add_argument("-o", "--outdir", help="Output directory")
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# parser.add_argument("-f", "--fasta", help="Fasta file")
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# parser.add_argument("-n", "--num_loop", help="Number of loop model")
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# parser.add_argument("-m", "--md_level", help="MD level")
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# parser.add_argument("-c", "--chain", help="Chain ID")
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# args = parser.parse_args()
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pdbfiles = [i for i in Path('../PDBfile').glob('*.pdb')]
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'''
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# 示例: 使用biopython提取A链(将会保留HETATM)
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chain_extractor = analyzer.extract_chain('A') # 假设要提取的链ID是 'A'
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chain_extractor.save('biopython_extracted_chain_A.pdb') # 保存为PDB文件
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# 示例: 使用biopandas提取A链(将不会保留HETATM)
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chain_extractor = analyzer.split_chain('A') # 假设要提取的链ID是 'A'
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chain_extractor.to_pdb('biopandas_extracted_chain_A.pdb') # 保存为PDB文件
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# A链改B链, 并分割保存为单独文件
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analyzer.change_chain_identifier('A', 'B', split=True).to_pdb(f'{PDB_ID}_B.pdb')
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# 分割所有的链
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split_dict = {}
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for j in analyzer.chain_id_list:
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fn = Path(f'{PDB_ID}_{j}.pdb')
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analyzer.split_chain(j).to_pdb(fn.as_posix())
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split_dict[j]=fn.read_text()
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'''
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def fix_all(path:Path):
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pdbfiles = [i for i in path.glob('*.pdb')]
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for i in pdbfiles:
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PDB_file_path = i
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PDB_ID = i.stem
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@@ -448,3 +482,17 @@ if __name__ == "__main__":
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split_dict.update(mc_dict) # 更新 split_dict
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import_and_merge_pdb_strings(split_dict, "merged_object", f'{PDB_ID}.modellerfix.pdb')
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if __name__ == "__main__":
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# import argparse
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# parser = argparse.ArgumentParser(description="Build model by Modeller")
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# parser.add_argument("-s", "--structure", help="Structure file")
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# parser.add_argument("-o", "--outdir", help="Output directory")
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# parser.add_argument("-f", "--fasta", help="Fasta file")
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# parser.add_argument("-n", "--num_loop", help="Number of loop model")
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# parser.add_argument("-m", "--md_level", help="MD level")
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# parser.add_argument("-c", "--chain", help="Chain ID")
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# args = parser.parse_args()
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# fix_all(Path('./pdb_test1'))
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pass
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