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bio-pdb-structure-io生物 pdb 结构 io

Agent Skill

bio-pdb-structure-io 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

371

周安装

15

GitHub Stars

公开资料未说明

下载量

116
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:bio-pdb-structure-io(生物 pdb 结构 io)
来源仓库:https://github.com/gptomics/bioskills
仓库路径:skills/bio-pdb-structure-io
安装命令:
npx skills add gptomics/bioskills --skill "bio-pdb-structure-io"
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

AgentSkills.tonpx skills
npx skills add gptomics/bioskills --skill "bio-pdb-structure-io"

简介

bio-pdb-structure-io 用于查找、检索和筛选相关信息,适用于 Codex、Claude、Cursor、Gemini CLI 环境。

  • 它可根据关键词或任务场景快速定位候选结果,支持从来源仓库获取 PDB 结构输入输出处理工具与文档。
  • 通过 npx skills add gptomics/bioskills --skill "bio-pdb-structure-io" 命令安装,需结合原始 README 核验具体用法。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Structure I/O

Parse, download, and write protein structure files in PDB, mmCIF, and MMTF formats.

Required Imports

from Bio.PDB import PDBParser, MMCIFParser, PDBIO, MMCIFIO, PDBList
from Bio.PDB.MMCIF2Dict import MMCIF2Dict

Supported Formats

FormatParserWriterDescription
PDBPDBParserPDBIOLegacy format, limited to 99999 atoms
mmCIFMMCIFParserMMCIFIOModern standard, full metadata
MMTFMMTFParser-Compact binary (read-only in Biopython)
BinaryCIFBinaryCIFParser-Compact binary, RCSB recommended

Parsing PDB Files

from Bio.PDB import PDBParser

parser = PDBParser(QUIET=True)
structure = parser.get_structure('1abc', '1abc.pdb')

print(f'Structure ID: {structure.id}')
print(f'Number of models: {len(list(structure.get_models()))}')
print(f'Number of chains: {len(list(structure.get_chains()))}')
print(f'Number of residues: {len(list(structure.get_residues()))}')
print(f'Number of atoms: {len(list(structure.get_atoms()))}')

Parsing mmCIF Files

from Bio.PDB import MMCIFParser

parser = MMCIFParser(QUIET=True)
structure = parser.get_structure('1abc', '1abc.cif')

# mmCIF is the modern standard - use for new workflows
print(f'Structure: {structure.id}')

Parsing MMTF Files

from Bio.PDB.MMTFParser import MMTFParser

parser = MMTFParser()
structure = parser.get_structure('1abc.mmtf')

Parsing BinaryCIF Files

from Bio.PDB import BinaryCIFParser

parser = BinaryCIFParser()
structure = parser.get_structure('1abc', '1abc.bcif')

Downloading from RCSB PDB

from Bio.PDB import PDBList

pdbl = PDBList()

# Download single structure (mmCIF by default)
file_path = pdbl.retrieve_pdb_file('1ABC', pdir='.', file_format='mmCif')
print(f'Downloaded: {file_path}')

# Download as PDB format
file_path = pdbl.retrieve_pdb_file('1ABC', pdir='.', file_format='pdb')

# Download biological assembly
file_path = pdbl.retrieve_pdb_file('1ABC', pdir='.', file_format='mmCif', assembly_num=1)

# Get list of all PDB entries
all_entries = pdbl.get_all_entries()
print(f'Total PDB entries: {len(all_entries)}')

# Get obsolete entries
obsolete = pdbl.get_all_obsolete()

Batch Downloading

from Bio.PDB import PDBList

pdbl = PDBList()
pdb_ids = ['1ABC', '2XYZ', '3DEF']

for pdb_id in pdb_ids:
    file_path = pdbl.retrieve_pdb_file(pdb_id, pdir='structures/', file_format='mmCif')
    print(f'Downloaded: {pdb_id}')

Writing PDB Files

from Bio.PDB import PDBParser, PDBIO

parser = PDBParser(QUIET=True)
structure = parser.get_structure('1abc', '1abc.pdb')

io = PDBIO()
io.set_structure(structure)
io.save('output.pdb')

Writing mmCIF Files

from Bio.PDB import MMCIFParser, MMCIFIO

parser = MMCIFParser(QUIET=True)
structure = parser.get_structure('1abc', '1abc.cif')

io = MMCIFIO()
io.set_structure(structure)
io.save('output.cif')

Selective Output with Select Class

from Bio.PDB import PDBParser, PDBIO, Select

class ChainSelect(Select):
    def __init__(self, chain_id):
        self.chain_id = chain_id

    def accept_chain(self, chain):
        return chain.id == self.chain_id

parser = PDBParser(QUIET=True)
structure = parser.get_structure('1abc', '1abc.pdb')

io = PDBIO()
io.set_structure(structure)
io.save('chain_A.pdb', ChainSelect('A'))

Select Class Methods

from Bio.PDB import Select

class CustomSelect(Select):
    def accept_model(self, model):
        return model.id == 0  # Only first model

    def accept_chain(self, chain):
        return chain.id in ['A', 'B']  # Only chains A and B

    def accept_residue(self, residue):
        return residue.id[0] == ' '  # Exclude hetero residues

    def accept_atom(self, atom):
        return atom.element != 'H'  # Exclude hydrogens

Extracting Header Information

from Bio.PDB import PDBParser

parser = PDBParser(QUIET=True)
structure = parser.get_structure('1abc', '1abc.pdb')

header = structure.header
print(f"Name: {header.get('name', 'Unknown')}")
print(f"Resolution: {header.get('resolution', 'N/A')}")
print(f"Structure method: {header.get('structure_method', 'Unknown')}")
print(f"Deposition date: {header.get('deposition_date', 'Unknown')}")

mmCIF Metadata with MMCIF2Dict

from Bio.PDB.MMCIF2Dict import MMCIF2Dict

mmcif_dict = MMCIF2Dict('1abc.cif')

# Access any mmCIF field
print(f"Entry ID: {mmcif_dict['_entry.id']}")
print(f"Resolution: {mmcif_dict.get('_refine.ls_d_res_high', ['N/A'])[0]}")
print(f"Method: {mmcif_dict.get('_exptl.method', ['Unknown'])[0]}")

# List all available fields
print(f"Available fields: {len(mmcif_dict.keys())}")

Quick Structure Inspection

from Bio.PDB import PDBParser

parser = PDBParser(QUIET=True)
structure = parser.get_structure('1abc', '1abc.pdb')

print(f'Models: {[m.id for m in structure]}')
for model in structure:
    print(f'  Model {model.id}:')
    for chain in model:
        residues = list(chain.get_residues())
        atoms = list(chain.get_atoms())
        print(f'    Chain {chain.id}: {len(residues)} residues, {len(atoms)} atoms')

Format Conversion

from Bio.PDB import PDBParser, MMCIFParser, PDBIO, MMCIFIO

# PDB to mmCIF
parser = PDBParser(QUIET=True)
structure = parser.get_structure('prot', 'protein.pdb')
io = MMCIFIO()
io.set_structure(structure)
io.save('protein.cif')

# mmCIF to PDB
parser = MMCIFParser(QUIET=True)
structure = parser.get_structure('prot', 'protein.cif')
io = PDBIO()
io.set_structure(structure)
io.save('protein.pdb')

Writing PQR Files

from Bio.PDB import PDBParser, PDBIO

parser = PDBParser(QUIET=True)
structure = parser.get_structure('1abc', '1abc.pdb')

# PQR format includes charge and radius instead of occupancy and B-factor
io = PDBIO(is_pqr=True)
io.set_structure(structure)
io.save('output.pqr')

Handling Parser Warnings

from Bio.PDB import PDBParser
import warnings

# Suppress warnings
parser = PDBParser(QUIET=True)

# Or capture warnings
parser = PDBParser(QUIET=False)
with warnings.catch_warnings(record=True) as w:
    warnings.simplefilter('always')
    structure = parser.get_structure('1abc', '1abc.pdb')
    if w:
        print(f'Warnings: {len(w)}')
        for warning in w:
            print(f'  {warning.message}')

Related Skills

  • structure-navigation - Traverse SMCRA hierarchy to access chains, residues, atoms
  • geometric-analysis - Measure distances, angles, and superimpose structures
  • structure-modification - Modify coordinates and properties before writing
  • database-access - Fetch structure metadata from NCBI/UniProt

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

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能力 2

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

windsurf

30.1%
按下载量换算35

trae

26.83%
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OpenCode

17.7%
按下载量换算21

Codex

11.84%
按下载量换算14

Claude Code

8.53%
按下载量换算10

Antigravity

3.61%
按下载量换算4

安全审计

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权限和风险

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安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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