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medsci-agent
medsci-agent에는 omar-A-hassan에서 수집한 skills 17개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
Shared operational contract for all MedSci agents: sequential execution, planning phase, retry limits, evidence standards.
Isolated exploratory code execution with medsci-sandbox tools. Use when analysis requires custom code beyond existing domain MCP tools.
AlphaFold DB for predicted protein structures and pLDDT confidence scores
Molecular biology toolkit. Use for FASTA parsing, sequence analysis, and translation.
ChEMBL database access for bioactivity data and target search
Datamol for molecular manipulation, SMILES processing, and cheminformatics
Molecular ML with DeepChem - featurizers, models, and molecular property prediction
ESM protein language models for sequence embeddings and structure prediction
Structured hypothesis formulation for scientific research. Use when generating testable hypotheses from observations.
Systematic literature review methodology, search strategy, and PRISMA reporting
Open Targets Platform for target-disease associations and genetic evidence
RCSB PDB for 3D protein structures, resolution, and experimental methods
PubMed biomedical literature search. Use for finding papers, clinical evidence, and research.
PyDESeq2 for differential gene expression analysis of RNA-seq count data
Cheminformatics with RDKit. Use for molecular analysis, drug-likeness, fingerprints, and similarity.
Single-cell RNA-seq analysis with Scanpy. Use when working with H5AD files, cell clustering, or differential expression.
UniProt protein database - accessions, annotations, and programmatic access