AI Drug Discovery
Companies

Full-stack antibody discovery from natural immune systems

AI-powered de novo antibody design and creation

De novo protein therapies for complex diseases

Generative AI for antibody CDR design

AI-powered virtual screening for small molecule drug discovery

World's largest biodiversity-powered protein database for AI

AI-enabled knowledge graph for drug discovery and repurposing

AI-driven antibody engineering with closed-loop lab validation

Universal biology foundation model from ex-DeepMind team

Open-source biomolecular AI for drug discovery

Alphabet-backed research into the biology of aging

Cell behavior-level drug discovery with single-cell AI

Foundation models for molecular discovery with zero-shot antibody design

AI-powered structure-based drug discovery for precision oncology

Rewriting genomes to create novel biomolecules

Generative AI protein engineering platform

AI-driven RNA therapeutics guided by the BigRNA foundation model

AI-designed bispecific antibodies for autoimmune diseases

Unlocking nature's chemistry with ML for drug discovery

ESM3 — the largest protein language model, generating novel proteins

Generative covalent chemistry for undruggable targets

Pioneer in AI-designed molecules reaching clinical trials

AI-driven de novo protein design for drug discovery

Generative AI for de novo protein therapeutic design

AI precision drug discovery for undruggable targets

Cell programming platform for synthetic biology and protein design

AI-powered drug repurposing for rare diseases

Physics-informed AI for rapid clinical-stage drug discovery

Generative AI and robotic chemistry for drug design

Deep learning for RNA molecule design

First AI-discovered and AI-designed drug in Phase 2 clinical trials

Machine learning meets human biology data for drug discovery

AlphaFold-powered AI drug design from Alphabet

Making biology programmable with generative AI

Autonomous AI science factories for drug discovery

Generative AI for de novo antibody design

Structure-based AI drug design with major pharma deals

Federated learning AI for oncology drug development

AI-powered peptide therapeutics for undruggable targets

AI-driven peptide drug design for oncology and anti-infectives

The integrated biology environment — an IDE for biologists

AI-designed proteins and gene editors

Industrializing drug discovery with phenomics, AI, and supercomputing

Lab-in-the-Loop AI for therapeutic target discovery

Motion-based drug discovery using protein dynamics

Physics-based molecular simulation meets ML for drug discovery

AI-powered drug discovery and repurposing from Seoul

Largest clinical genomics database powering precision medicine AI

Nanotechnology-enabled ultra-high-throughput drug discovery

Simulated cell biology for oncology drug discovery

Digital twins to reduce clinical trial size and timelines

Integrating human data and computation for end-to-end drug development

AI-native drug discovery with $1B+ launch — largest in biotech history

Quantum mechanics + AI for crystal structure and drug property prediction