165 lines
6.5 KiB
Python
165 lines
6.5 KiB
Python
#!/usr/bin/env python
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# -*- encoding: utf-8 -*-
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'''
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@file :tcr_pmhc_complexes.py
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@Description: : 用于fasta文件构建数据集
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@Date :2024/01/17 10:24:08
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@Author :lyzeng
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@Email :pylyzeng@gmail.com
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@version :1.0
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'''
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from Bio.Data import IUPACData
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from pydantic import BaseModel, Field, FilePath, field_validator
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from typing import Optional, Dict, List, Any, Union
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from pathlib import Path
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from sequence_base import ProteinSequence, BaseProteinSequence
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# 使用 BioPython 导入氨基酸缩写
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AMINO_ACIDS = set(IUPACData.protein_letters)
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class ProteinComplex(BaseModel):
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pdb_id: str
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tcr_alpha: Optional[ProteinSequence] = None
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tcr_beta: Optional[ProteinSequence] = None
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mhc_alpha: Optional[ProteinSequence] = None
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mhc_beta: Optional[ProteinSequence] = None
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peptide: Optional[ProteinSequence] = None
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mhc_class: str # MHC 类型：1, 2, 或 '未知'
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data_source: str # 数据来源，例如论文的 DOI 号
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extra_data: Dict[str, Any] = {}
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def add_extra_data(self, **kwargs):
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self.extra_data.update(kwargs)
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class FastaHeaderInfo(BaseModel):
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pdb_id: Optional[str] = None
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chain_ids: List[str] = []
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auth_chain_ids: Dict[str, str] = {}
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description: str = ''
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is_polymeric: Optional[str] = None # 新增属性
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@classmethod
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def from_header_line(cls, header_line: str):
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if '|' in header_line:
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parts = header_line.split('|')
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pdb_id = parts[0].strip('>')
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chain_info = parts[1] if len(parts) > 1 else ''
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description = parts[2] if len(parts) > 2 else ''
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chain_parts = chain_info.replace('Chain ', '').replace('Chains ', '').split(',')
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chain_ids = []
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auth_chain_ids = {}
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for part in chain_parts:
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part = part.strip()
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if '[' in part:
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chain_id, auth_chain_id = part.split('[')
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chain_id = chain_id.strip()
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auth_chain_id = auth_chain_id.strip(']').replace('auth ', '').strip()
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chain_ids.append(chain_id)
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auth_chain_ids[chain_id] = auth_chain_id
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else:
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chain_ids.append(part)
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auth_chain_ids[part] = part
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is_polymeric = "Yes" if len(chain_ids) > 1 else "No"
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else:
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pdb_id = None
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chain_ids = []
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auth_chain_ids = {}
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description = header_line[1:].strip() # 去除开头的 '>' 字符
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is_polymeric = "Unknown" # 没有链信息时，多聚体状态未知
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return cls(pdb_id=pdb_id, chain_ids=chain_ids, auth_chain_ids=auth_chain_ids, description=description, is_polymeric=is_polymeric)
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# 对于标准fasta的兼容尝试处理，废弃
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# class FastaHeaderInfo(BaseModel):
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# info: Dict[str, Union[str, List[str], Dict[str, str]]] = {}
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# is_polymeric: Optional[str] = None # 新增属性
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# @classmethod
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# def from_header_line(cls, header_line: str):
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# header_info = {}
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# if '|' in header_line and 'Chain' in header_line:
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# # PDB FASTA格式处理
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# parts = header_line.split('|')
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# header_info['identifier'] = parts[0].strip('>')
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# chain_info = parts[1] if len(parts) > 1 else ''
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# header_info['description'] = parts[2] if len(parts) > 2 else ''
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# chain_parts = chain_info.replace('Chain ', '').replace('Chains ', '').split(',')
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# chain_ids = []
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# auth_chain_ids = {}
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# for part in chain_parts:
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# part = part.strip()
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# if '[' in part:
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# chain_id, auth_chain_id = part.split('[')
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# chain_id = chain_id.strip()
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# auth_chain_id = auth_chain_id.strip(']').strip()
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# chain_ids.append(chain_id)
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# auth_chain_ids[chain_id] = auth_chain_id
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# else:
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# chain_ids.append(part)
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# auth_chain_ids[part] = part
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# header_info['chain_ids'] = chain_ids
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# header_info['auth_chain_ids'] = auth_chain_ids
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# header_info['is_polymeric'] = "Yes" if len(chain_ids) > 1 else "No"
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# else:
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# # 处理非PDB或非标准FASTA头信息
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# identifier = header_line[1:].split()[0] # 取第一个空格前的文本作为标识符
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# description = ' '.join(header_line[1:].split()[1:]) # 剩余的文本作为描述
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# header_info['identifier'] = identifier
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# header_info['description'] = description
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# header_info['is_polymeric'] = "Unknown"
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# return cls(info=header_info)
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class FastaSequence(BaseModel):
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header_info: FastaHeaderInfo
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sequence: BaseProteinSequence
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@property
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def sequence_length(self) -> int:
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# 注意这里 sequence.sequence 是因为 sequence 是 BaseProteinSequence 的实例
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# 而 BaseProteinSequence 有一个名为 sequence 的字段
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return len(self.sequence.sequence)
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class FastaFile(BaseModel):
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file: FilePath
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sequences: List[FastaSequence] = []
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def __init__(self, *args, **kwargs):
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super().__init__(*args, **kwargs)
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self.read_sequence()
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@property
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def sequence_num(self) -> int:
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return len(self.sequences)
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def read_sequence(self):
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with open(self.file, 'r') as fasta_file:
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header_line = ''
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sequence = ''
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for line in fasta_file:
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line = line.strip()
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if line.startswith('>'):
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if sequence:
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# 创建 BaseProteinSequence 实例
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base_sequence = BaseProteinSequence(sequence=sequence)
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header_info = FastaHeaderInfo.from_header_line(header_line)
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# 使用 BaseProteinSequence 实例而不是字符串
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self.sequences.append(FastaSequence(header_info=header_info, sequence=base_sequence))
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sequence = ''
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header_line = line
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else:
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sequence += line
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# 确保文件末尾的序列也被添加
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if sequence:
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base_sequence = BaseProteinSequence(sequence=sequence)
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header_info = FastaHeaderInfo.from_header_line(header_line)
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self.sequences.append(FastaSequence(header_info=header_info, sequence=base_sequence))
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