数据与复现蛋白结构与设计FreedomIntelligence/OpenClaw-Medical-Skills数据与复现

bio-uniprot-access

维护者 FreedomIntelligence · 最近更新 2026年4月1日

Query UniProt for protein sequences, annotations, and cross-references.

OpenClawNanoClaw分析处理复现实验bio-uniprot-access🧠 bioos extended suitebioos extended bioinformatics suitequery

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-uniprot-access

维护者: FreedomIntelligence
许可: MIT
最近更新: 2026年4月1日

技能摘要

来自 SKILL.md 的关键信息

2 min

核心说明

Query UniProt ，用于 protein sequences，functional annotations，、 cross-references。
query = 'organism_id：9606 、 keyword：kinase 、 database：pdb 、 reviewed：true' results = search_uniprot(query，size=100)。

原始文档

SKILL.md 摘录

Query Syntax

Query	Description
`gene:TP53`	Gene name
`organism_id:9606`	Human (NCBI taxonomy)
`reviewed:true`	Swiss-Prot only
`length:[100 TO 500]`	Sequence length range
`go:0006915`	GO term (apoptosis)
`keyword:kinase`	Keyword
`ec:2.7.1.1`	Enzyme classification
`database:pdb`	Has PDB structure

Stream Large Results

def search_all(query, format='tsv', fields=None):
    '''Stream all results for large queries'''
    url = 'https://rest.uniprot.org/uniprotkb/stream'
    params = {'query': query, 'format': format}
    if fields:
        params['fields'] = ','.join(fields)
    response = requests.get(url, params=params, stream=True)
    return response.text

## Get all human proteins as TSV

all_human = search_all('organism_id:9606 AND reviewed:true',
                       fields=['accession', 'gene_names', 'protein_name'])