Workflow for read alignment, sorting, indexing, mapping statistics, and downstream-ready alignment artifacts.
日本語の概要は準備中です。原文の説明を表示しています。
Query InterPro for protein domains and families. Use when user asks about protein domains, functional sites, protein families, domain architecture, or motifs. Triggers on "interpro", "protein domain", "domain architecture", "protein family", "functional site", "motif".
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Query the InterPro REST API for protein domains, families, and functional sites.
import requests
import json
BASE_URL = "https://www.ebi.ac.uk/interpro/api"
# 1. Get protein annotation (domains/families for a UniProt ID)
def get_protein_domains(uniprot_id):
url = f"{BASE_URL}/protein/uniprot/{uniprot_id}"
r = requests.get(url, headers={"Accept": "application/json"})
r.raise_for_status()
return r.json()
# 2. Get InterPro entry details
def get_interpro_entry(interpro_id):
url = f"{BASE_URL}/entry/interpro/{interpro_id}"
r = requests.get(url, headers={"Accept": "application/json"})
r.raise_for_status()
return r.json()
# 3. Search InterPro by text
def search_interpro(query, max_results=10):
url = f"{BASE_URL}/entry/interpro"
params = {"search": query, "page_size": max_results}
r = requests.get(url, params=params, headers={"Accept": "application/json"})
r.raise_for_status()
return r.json()
# 4. Get domain matches for a protein
def get_domain_matches(uniprot_id):
url = f"{BASE_URL}/protein/uniprot/{uniprot_id}/entry/interpro"
r = requests.get(url, headers={"Accept": "application/json"})
r.raise_for_status()
return r.json()
# Example: TP53 domains
domains = get_domain_matches("P04637")
for result in domains.get("results", []):
meta = result.get("metadata", {})
name = meta.get("name", "N/A")
ipr_type = meta.get("type", "N/A")
accession = meta.get("accession", "N/A")
proteins = result.get("proteins", [])
if proteins:
locations = proteins[0].get("entry_protein_locations", [])
for loc in locations:
for frag in loc.get("fragments", []):
start = frag.get("start", "?")
end = frag.get("end", "?")
print(f"{accession} ({ipr_type}): {name} [{start}-{end}]")
domain — Structural/functional domainfamily — Protein familyhomologous_superfamily — Distant homologsrepeat — Repeated motifsite — Active/binding siteまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Workflow for read alignment, sorting, indexing, mapping statistics, and downstream-ready alignment artifacts.
日本語の概要は準備中です。原文の説明を表示しています。
Validate protein designs using AlphaFold2 structure prediction. Use this skill when: (1) Validating designed sequences fold correctly, (2) Predicting binder-target complex structures, (3) Calculating confidence metrics (pLDDT, pTM, ipTM), (4) Self-consistency validation of designs, (5) Multi-chain complex prediction with AlphaFold-Multimer. For faster single-chain prediction, use esm. For QC thresholds, use protein-qc.
日本語の概要は準備中です。原文の説明を表示しています。
AlphaFold2 / AlphaFold-Multimer structure prediction for validation and confidence scoring. Use this skill when: (1) Validating designed sequences fold correctly, (2) Predicting binder-target complex structures, (3) Calculating confidence metrics (pLDDT, pTM, ipTM), (4) Self-consistency validation of designs, (5) Multi-chain complex prediction with AlphaFold-Multimer. For faster single-chain prediction, use esm2-sequence-scoring. For QC thresholds, use protein-design-qc.
日本語の概要は準備中です。原文の説明を表示しています。
Workflow for event-level and isoform-level splicing analysis with sashimi-ready outputs and splice QC.
日本語の概要は準備中です。原文の説明を表示しています。
ATAC-seq processing with assay QC, MACS3 peak calling, consensus peak matrices, differential accessibility, and motif or footprint follow-up.
日本語の概要は準備中です。原文の説明を表示しています。
End-to-end binder design using BindCraft hallucination. Use this skill when: (1) Designing protein binders with built-in AF2 validation, (2) Running production-quality binder campaigns, (3) Using different design protocols (fast, default, slow), (4) Need joint backbone and sequence optimization, (5) Want high experimental success rate. For backbone-only generation, use rfdiffusion. For QC thresholds, use protein-qc. For tool selection guidance, use binder-design.
日本語の概要は準備中です。原文の説明を表示しています。