claude

drug-discovery-intelligence

Pharmaceutical R&D intelligence skills for target analysis, competitive landscape, clinical trials, and market research

22 on GitHubby Drug Discovery Teamv1.0.0MITupdated 10 months ago

Not in a marketplace yet, so it loads for one session with --plugin-dir.

Plugin drug-discovery-intelligence in huifer/drug-discovery-skills. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (17)

  • admet-prediction

    ADMET (Absorption, Distribution, Metabolism, Excretion, Toxicity) prediction for drug candidates. Use for assessing drug-likeness, PK properties, and safety risks early in drug discovery. Keywords: ADMET, PK, toxicity, drug-likeness, DILI, hERG, bioavailability - rdkit - admet-models

  • alert-system

    Automated alert system for key events in drug discovery. Use for tracking competitor milestones, clinical trial updates, regulatory decisions, and publications of interest. Keywords: alerts, monitoring, tracking, notifications, competitive intelligence - clinicaltrials-api - fda-api - pubmed-api

  • clinical-intelligence

    Deep analysis of clinical trials including design, enrollment, outcomes, and competitive positioning. Use for trial monitoring, landscape analysis, and competitive intelligence. Keywords: clinical, trials, NCT, enrollment, phase, outcomes, study design - clinicaltrials-database - fda-database - ema-

  • competitor-landscape

    Analyze competitive landscape for drugs including clinical pipeline, mechanism of action, development status, and company profiles. Use this skill for competitive intelligence, pipeline tracking, market analysis, and investment due diligence. Supports drug names, target areas, or disease indications

  • compound-profile

    Generate comprehensive compound profiles including structure, properties, bioactivity, and development status. Use for drug analysis, SAR studies, and competitive profiling. Keywords: compound, drug, molecule, structure, SMILES, bioactivity, IC50 - chembl-database - pubchem-database - drugbank-datab

  • deal-tracker

    Track pharmaceutical M&A, licensing, and investment deals. Use for competitive intelligence, market analysis, and identifying partnership opportunities. Keywords: deals, M&A, licensing, partnership, collaboration, acquisition, pharma deals - sec-filings - press-releases - deal-databases

  • literature-search

    Comprehensive literature search with automatic summarization, trend analysis, and key paper identification from PubMed and preprints. Use this skill for literature review, trend identification, key paper discovery, and staying current with research developments. Keywords: literature, pubmed, papers,

  • market-analysis

    Market sizing, epidemiology, and commercial opportunity assessment for drug development. Use for market forecasts, opportunity evaluation, and investment decisions. Keywords: market, epidemiology, prevalence, forecast, sizing, opportunity - gbd-database - ihme-database - who-database

  • patent-search

    Search and analyze patents including FTO (Freedom to Operate) analysis, patent landscape mapping, and competitive IP intelligence. Keywords: patent, FTO, freedom to operate, IP, intellectual property - uspto-database - epo-database - wipo-database

  • pipeline-tracker

    Global drug development pipeline tracking by disease, target, mechanism, or company. Use for competitive intelligence, opportunity identification, and trend analysis. Keywords: pipeline, drug development, clinical trials, R&D tracking, competitive landscape - clinicaltrials-api - fda-api - pharma-pr

  • report-generator

    Generate professional drug discovery reports including target dossiers, competitive briefs, and Go/No-Go decision summaries. Use this skill when you need formatted reports for presentations, decision meetings, or documentation. Supports multiple output formats. Keywords: report, dossier, decision, g

  • structure-search

    Structure-based similarity search and scaffold analysis for drug discovery. Use for lead hopping, scaffold morphing, and chemical space exploration. Keywords: similarity search, scaffold hopping, chemical space, fingerprint, Tanimoto - rdkit - chembl - pubchem

  • target-competition

    Analyze target competitive landscape including existing drugs, pipeline companies, differentiation opportunities, and market maturity assessment. Keywords: target competition, landscape, differentiation, pipeline analysis, market share - drugbank - chembl - pharma-projects - citeline

  • target-profile

    Generate comprehensive target profiles including druggability assessment, disease associations, pathway context, and competitive landscape. Use this skill when analyzing drug targets for validation, dossier creation, or competitive intelligence. Supports gene symbols (EGFR), protein names, or UniPro

  • target-safety

    Target safety assessment including known toxicities, essentiality, and off-target concerns. Use for early safety risk evaluation and target selection. Keywords: target safety, toxicity, essential gene, knockout, safety risks - imap-database - gwas-catalog - clinvar - essential-genes

  • target-validation

    Comprehensive target validation assessing druggability, disease association strength, tractability, and competitive landscape. Use for go/no-go decisions on target selection. Keywords: target validation, druggability, tractability, disease association, genetic validation - opentargets - gwas-catalog

  • virtual-screening

    Molecular docking and virtual screening for drug discovery. Use for screening compound libraries against protein targets, predicting binding affinities, and identifying lead candidates. Keywords: docking, virtual screening, molecular docking, binding affinity, lead identification - rdkit - openbabel

View source on GitHub wellally.tech

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