数据与复现临床医学与医药FreedomIntelligence/OpenClaw-Medical-Skills数据与复现

cancer-metabolism-agent

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

Analyze tumor metabolic reprogramming from transcriptomic and metabolomic data.

OpenClawNanoClaw分析处理复现实验cancer-metabolism-agent🧠 bioos extended suiteoncology & precision medicine agentsanalyze

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/cancer-metabolism-agent

技能摘要

2 min

Cancer Metabolism Agent analyzes tumor metabolic reprogramming to identify vulnerabilities ，用于 therapeutic targeting. It integrates metabolomics，transcriptomics，、 flux analysis to characterize Warburg effect，glutamine addiction，lipid synthesis，、 other cancer-specific metabolic alterations。
When analyzing tumor metabolomic profiles to identify metabolic phenotypes。
To identify metabolic vulnerabilities as therapeutic targets。
用于 predicting response to metabolism-targeting drugs (metformin，2-DG，CB-839)。
When integrating metabolomics ，支持 transcriptomics ，用于 pathway analysis。

原始文档

Metabolic Phenotyping: Classify tumors by dominant metabolic programs (glycolytic, oxidative, lipogenic).
Warburg Effect Quantification: Measure aerobic glycolysis and lactate production signatures.
Glutamine Dependency Analysis: Identify glutamine-addicted tumors vulnerable to GLS inhibitors.
Lipid Metabolism Profiling: Analyze de novo lipogenesis and fatty acid oxidation.
Metabolic Flux Analysis: Integrate 13C tracer data for pathway flux quantification.
Drug Sensitivity Prediction: Predict response to metabolism-targeting therapeutics.

Pathway	Key Enzymes	Cancer Relevance	Therapeutic Targets
Glycolysis	HK2, PKM2, LDHA	Warburg effect	2-DG, lonidamine
Glutaminolysis	GLS1, GDH	Nitrogen/carbon source	CB-839, BPTES
Fatty acid synthesis	FASN, ACC, ACLY	Membrane biogenesis	TVB-2640, ND-646
Oxidative phosphorylation	Complex I-V	OXPHOS tumors	Metformin, IACS-010759
One-carbon metabolism	SHMT, MTHFD	Nucleotide synthesis	Methotrexate
Serine synthesis	PHGDH, PSAT1	Amino acid auxotrophy	NCT-503

Input: Metabolomics data (LC-MS, GC-MS), RNA-seq expression, clinical annotations.
Normalization: Process metabolomics data with appropriate normalization.
Pathway Scoring: Calculate metabolic pathway activity scores.
Phenotype Classification: Assign metabolic phenotype clusters.
Vulnerability Identification: Identify metabolic dependencies.
Drug Matching: Predict sensitivity to metabolism-targeting agents.
Output: Metabolic phenotype, pathway activities, therapeutic recommendations.

Use cancer-metabolism-agent ，用于 clinical，translational，或 medical research tasks。
Apply cancer-metabolism-agent when healthcare-specific guidance is required。