Medea: An AI agent for therapeutic reasoning across biological contexts
Target and Antibody Discovery via AI
target-data-extractor - built by AbD02018
my Ph.D. Thesis: transformers on single cell RNA-seq as large cell models
Scientific MVP for LUAD target prioritization using knowledge graphs, GraphSAGE, and GraphRAG.
A reproducible single-cell workflow for human liver fibrosis, MASH, and cirrhosis target discovery.
End-to-end GNN pipeline for drug–target interaction prediction and target prioritization
Find disease-associated cell-surface targets, screen small molecules, and generate protein binders with Codex and Rosalind Workbench
Insilico Medicine — independent third-party profile of a public API surface, by API Evangelist. Insilico Medicine is a clinical-stage biotechnology company applying generative AI and robotic automation to drug discovery and development. Its Pharma.AI software suite includes PandaOmics (target discovery from multi-omics data), Chemistry42 (generativ
Computational target discovery + antigen-specific therapeutic design for inflammatory/immune disorders (EGIDs, celiac, IBD, autoimmune). Bundles the omics-mining, pMHC-epitope, and systematic-review methodology with DOI-verification and presentation-
Sex-stratified computational pipeline for ALS drug target discovery integrating iPSC transcriptomic reversal, ChEMBL pharmacological annotation, and multi-model machine learning prioritisation.
Human bulk RNA-seq target discovery and computational protein binder design, with reproducible workflows, evidence, provenance and documented limitations. Computational predictions are not experimental binding validation.
A reproducible multi-omics bioinformatics workflow for investigating extracellular matrix-associated molecular signatures in pancreatic ductal adenocarcinoma.
End-to-end, human-in-the-loop therapeutic drug-development pipeline for Claude Science — archetype-adaptive across common and genetic/rare disease.
Ranks liver noncoding RNA targets in MASLD/MASH, fibrosis, and HCC with evidence-typed dossiers from public GEO cohorts. Streamlit dashboard.
Disease-agnostic methodology stack for computational target discovery and antigen-specific therapeutic design in inflammatory/immune disorders (EGIDs, celiac, IBD, autoimmune).
AI-powered cancer target discovery agent for precision oncology research. Input genomic variants → find matched drugs via CIViC/DGIdb/PubMed → rank by evidence. Built with LangGraph + DeepSeek API + Streamlit.
Predicts CRISPR gene dependencies across 1,066 DepMap cancer models and ranks selective therapeutic hypotheses. Precision@10 0.965 on held-out models, validated against an independent Sanger screen.
TargetLens / 靶点梳理助手：可追溯的肿瘤靶点研读与证据决策工作台
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