根据稳态碳13示踪测量估算细胞内代谢通量,检查碳原子映射和测量输入,模拟标记分布并拟合受约束的通量,以判断数据能约束哪些通路反应速率。
- 根据碳13测量估算代谢通量
- 检查原子映射与测量输入
- 根据指定通量预测标记分布
通过ARAX查询药物、基因和疾病之间的关系,可限定实体类型与路径范围,查看直接关联或经过一个中间实体的路径,并检查返回的文献和数据来源。
Queries the NCATS Translator ARAX production API for bounded, typed, provenance-rich one-hop and endpoint-pinned two-hop biomedical knowledge-graph relationships. Use for Biolink-constrained RTX-KG2 lookup, explicit selected-provider ARAX federation, separate entity normalization, qualifier-aware graph traversal, and inspection of TRAPI edge bindings, publications, and knowledge-source provenance. Do not use for inference, ranking, open-ended pathfinding, clinical guidance, or sensitive queries.
实测评分 未实测
查看安装方法本技能通过NCATS Translator ARAX API查询药物、基因、疾病等生物医学实体之间的关系。可获取直接关联,也可在指定两端之间查找经过一个中间实体的路径。可以使用Biolink限定实体类型和关系类型,也可指定作用增强或减弱等条件。技能还支持检查返回的关系、文献和数据来源,并保存原始响应。
适合利用公开信息探索药物与基因的可能关系,或寻找从药物通向疾病的候选路径。除默认的RTX-KG2查询外,也可在明确指定两至五个信息提供方后进行跨源查询。
需要Python 3.10以上版本,并能通过HTTPS连接arax.transltr.io;无需API密钥。查询内容和调用方信息可能公开,因此不得提交患者信息或机密内容。返回路径只是后续研究的候选线索,不代表已验证的作用机制,也不是临床建议。重要候选需另行查阅文献验证。本技能不进行推断、排序或开放式路径搜索。
本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。
AI 根据 SKILL.md 的内容检查了需要注意的操作和使用前提。评分只依据实际运行的结果(实测对比)。
不计入评分。 由 AI(OpenAI Codex)于 2026年10月24日 评估。仅供参考,安装前请同时查看原文。
安装前可以查看交给 AI 代理的指令内容。
Use ARAX as a constrained knowledge-graph lookup service. Submit reviewed CURIEs and explicit Biolink types, preserve the exact TRAPI exchange, inspect query-edge bindings and provenance, and treat every returned path as a candidate for subsequent verification.
Read query-contract.md before constructing a query. Read output-schema.md when interpreting saved artifacts, warnings, provenance, or partial results.
store=false is requested.summary.json for bounded bindings and provenance and response.json for the exact
TRAPI payload.Check the production OpenAPI without making a biomedical query:
python skills/ncats-arax/scripts/arax_client.py preflight
The client verifies that the service identifies itself as ARAX, exposes POST /query and
GET /entity, and reports a supported TRAPI version. It reads info.x-trapi.version, falling back
to the title for older OpenAPI documents. A nonproduction endpoint or untested TRAPI series
requires an explicit override; neither override changes the fixed query shapes or operations.
Normalization is review-only and never triggers a graph query:
python skills/ncats-arax/scripts/arax_client.py normalize "ivacaftor" \
--expected-category biolink:SmallMolecule \
--max-synonyms 10 \
--acknowledge-public-query \
--output-dir outputs/normalize-ivacaftor
Review the canonical identifier, name, category, and synonym preview before using a CURIE. Report
all CURIEs and categories regardless of query outcome. A category warning or zero result is a
reason to curate the identifier, not to chain automatically to /query.
Pin at least one endpoint and type both nodes:
python skills/ncats-arax/scripts/arax_client.py one-hop \
--subject-id CHEBI:31690 \
--subject-category biolink:SmallMolecule \
--predicate biolink:affects \
--object-id NCBIGene:25 \
--object-category biolink:Gene \
--qualifier biolink:object_aspect_qualifier=activity_or_abundance \
--qualifier biolink:object_direction_qualifier=decreased \
--acknowledge-public-query \
--output-dir outputs/imatinib-abl1
Lookup mode is the default and fixes expansion to infores:rtx-kg2. It defaults to 20 results.
Use --result-limit N to request 1-50 results; 50 is the hard cap in either mode.
Use exactly one typed, unpinned intermediate node:
python skills/ncats-arax/scripts/arax_client.py two-hop \
--subject-id CHEBI:66901 \
--subject-category biolink:SmallMolecule \
--predicate-1 biolink:affects \
--intermediate-category biolink:Gene \
--predicate-2 biolink:associated_with \
--object-id MONDO:0009061 \
--object-category biolink:Disease \
--qualifier-1 biolink:object_aspect_qualifier=activity_or_abundance \
--qualifier-1 biolink:object_direction_qualifier=increased \
--expand-order right-first \
--acknowledge-public-query \
--output-dir outputs/ivacaftor-cystic-fibrosis
Right-first expansion is the default. If an empty result merits another attempt, run a new query
explicitly with --expand-order left-first and keep the runs separate.
Federation is explicit and accepts two to five named providers:
python skills/ncats-arax/scripts/arax_client.py one-hop \
--subject-id CHEBI:31690 \
--subject-category biolink:SmallMolecule \
--predicate biolink:affects \
--object-id NCBIGene:25 \
--object-category biolink:Gene \
--mode federated \
--kp infores:rtx-kg2 \
--kp infores:molepro \
--acknowledge-public-query \
--output-dir outputs/federated-imatinib-abl1
Federation defaults to the hard maximum of 50 results. Provider errors may coexist with useful results; such a run exits 7 after retaining its artifacts and is marked partial. The same applies to a failed provider in lookup mode. An explicit non-success ARAX response status exits 6 with the raw response retained; it must not be reported as a successful zero-result query.
Rebuild a bounded summary without network access:
python skills/ncats-arax/scripts/arax_client.py summarize \
--request outputs/ivacaftor-cystic-fibrosis/request.json \
--response outputs/ivacaftor-cystic-fibrosis/response.json \
--format text
The inspector accepts only the same constrained request shapes and fixed operations that the live
commands generate. Use --format json for the normalized view on standard output.
publication_availability: not_returned as missing metadata, not evidence that no
publications exist.The client has no raw-query, workflow, operation, overlay, ranking, inference, link-prediction, Pathfinder, ARS, batch, all-provider, three-hop, cache, daemon, SDK, MCP, or natural-language-to-TRAPI surface. Do not work around those limits with direct HTTP calls under this skill.
Reviewed on 2026-09-30 against production ARAX 1.5.4 / TRAPI 1.5.0 (the URL still contains v1.4).
Live public smoke tests passed for preflight, normalization, qualified one-hop and endpoint-pinned
two-hop lookups, and RTX-KG2/MolePro federation. Results and provider availability can change.
The official introductory guide contains older response examples; use the deployed schema and
current ARAX source for field and operation contracts. No Python SDK is used by this client.
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根据稳态碳13示踪测量估算细胞内代谢通量,检查碳原子映射和测量输入,模拟标记分布并拟合受约束的通量,以判断数据能约束哪些通路反应速率。
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利用AlphaGenome Atlas的预计算结果和模型预测,研究DNA变异可能对基因活动造成的影响。可排序候选变异、查看组织特异性效应,并检查评分依据,辅助提出生物机制研究假设。
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整理单细胞测量值及细胞、基因信息,读写h5ad或Zarr文件,并支持数据筛选、合并和元数据管理,也可省内存读取大型数据的所需部分。