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GitHub 저장소

drug-discovery-skills

drug-discovery-skills에는 huifer에서 수집한 skills 17개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.

수집된 skills
17
Stars
15
업데이트
2026-01-04
Forks
2
직업 범위
직업 카테고리 9개 · 100% 분류됨
저장소 탐색

이 저장소의 skills

pipeline-tracker
의학 과학자(역학자 제외)

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

2026-01-04
structure-search
생화학자 및 생물물리학자

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

2026-01-04
target-competition
의학 과학자(역학자 제외)

Analyze target competitive landscape including existing drugs, pipeline companies, differentiation opportunities, and market maturity assessment. Keywords: target competition, landscape, differentiation, pipeline analysis, market share

2026-01-04
target-safety
의학 과학자(역학자 제외)

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

2026-01-04
target-validation
의학 과학자(역학자 제외)

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

2026-01-04
admet-prediction
생화학자 및 생물물리학자

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

2026-01-04
alert-system
소프트웨어 개발자

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

2026-01-04
clinical-intelligence
의학 과학자(역학자 제외)

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

2026-01-04
competitor-landscape
의학 과학자(역학자 제외)

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. Keywords: competitor, competition, landscape, pipeline, drugs, market analysis

2026-01-04
compound-profile
데이터 과학자

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

2026-01-04
deal-tracker
재무 및 투자 분석가

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

2026-01-04
literature-search
생화학자 및 생물물리학자미생물학자+1

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, search, bibliography, review

2026-01-04
market-analysis
경제학자

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

2026-01-04
patent-search
기타 생물 과학자

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

2026-01-04
report-generator
의학 과학자(역학자 제외)

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, go-no-go, brief, presentation

2026-01-04
target-profile
생화학자 및 생물물리학자의학 과학자(역학자 제외)

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 UniProt IDs. Keywords: target, dossier, validation, druggability, tractability, target analysis

2026-01-04
virtual-screening
생화학자 및 생물물리학자화학자

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

2026-01-04