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Public Analyses

1,247

Active Collaborations

342

Community Members

8,950

Total Citations

3,421

Featured Analyses

Top-rated and most impactful community contributions this month

AI-Predicted Protein Structures Reveal Novel Allosteric Drug Binding Sites

Featured
Dr. Lisa ThompsonDeepMind / Oxford
5

Using AlphaFold2 predictions and molecular dynamics, we identified cryptic allosteric pockets in 23 "undruggable" targets.

Key Results

Discovered allosteric sites in KRAS G12D, MYC, and 21 other targets with druggability scores >0.7

Fragment screening confirmed binding in 8/10 tested pockets

Tools & Datasets

Tools: AlphaFold2, GROMACS, fpocket, Schrödinger Suite

Data: AlphaFold DB, PDB, DrugBank, ChEMBL

AlphaFoldAllostericUndruggableMD SimulationsAI
5,680445278424.9 (67)3 citations

Single-Cell RNA-seq Atlas of Tumor Microenvironment in Melanoma

Featured
Dr. Emily WatsonHarvard Medical School
4.7

Comprehensive single-cell transcriptomics of melanoma tumors reveals immune cell populations predictive of checkpoint inhibitor response.

Key Results

Identified CD8+ exhausted T-cell signature predicting anti-PD-1 response (AUC 0.87)

Validated in 3 independent cohorts (n=156 total)

Tools & Datasets

Tools: Seurat, Scanpy, CellPhoneDB, Monocle3

Data: In-house scRNA-seq (n=42), GSE120575, GSE139249

scRNA-seqMelanomaImmunotherapyTMEBiomarkers
4,150312201354.9 (52)15 citations

Multi-Omics Integration for Alzheimer's Drug Target Discovery

Featured
Dr. Sarah ChenStanford University
4.8

Integrated genomics, transcriptomics, and proteomics to identify 15 novel drug targets for Alzheimer's disease. Used AI-powered pathway enrichment and network analysis.

Key Results

Identified APP, MAPT, APOE, and 12 novel targets with convergent genomic/transcriptomic/proteomic evidence

p < 0.001, validated in 3 independent cohorts

Tools & Datasets

Tools: DESeq2, STRING, AlphaFold, Cytoscape

Data: ROSMAP RNA-seq, AMP-AD Proteomics, GWAS Catalog

Alzheimer'sMulti-omicsDrug DiscoveryNetwork AnalysisAI
3,420287156284.7 (43)12 citations

CRISPR Screen Identifies Synthetic Lethal Partners for KRAS in Lung Cancer

Featured
Prof. Michael RodriguezMIT
4.9

Genome-wide CRISPR knockout screen in KRAS-mutant lung cancer cells reveals synthetic lethal dependencies exploitable for therapy.

Key Results

Identified STK33, TBK1, and 18 other synthetic lethal partners for KRAS G12C

FDR < 0.05, validated with small molecule inhibitors

Tools & Datasets

Tools: MAGeCK, BAGEL, STRING, Enrichr

Data: Broad Institute DepMap, CCLE, TCGA Lung Cancer

CRISPRCancerKRASSynthetic LethalityDrug Target
2,890245134224.8 (38)8 citations

Proteomics-Guided Discovery of Novel Kinase Inhibitors

Dr. James ParkUCSF
4.6

Phosphoproteomics screen combined with AI-driven drug design identifies potent and selective CDK4/6 inhibitors.

Key Results

Developed HP-1247, a novel CDK4/6 inhibitor with IC50 = 2.3 nM and >100x selectivity

Shows efficacy in breast cancer xenografts with minimal toxicity

Tools & Datasets

Tools: MaxQuant, Perseus, AlphaFold, AutoDock Vina

Data: PhosphoSitePlus, CPTAC, In-house MS data

ProteomicsKinasesDrug DesignAICDK4/6
2,340198112184.5 (29)5 citations