The AI Biotech
Ecosystem
AI-in-Bio advances agentic AI for drug discovery within a vibrant landscape of open-source initiatives, cross-industry consortia, and pioneering research organizations transforming biomedicine.
Industry Directories
BioPharmaGuy AI Companies Directory
Comprehensive database of AI-powered biotechnology and pharmaceutical companies worldwide, organized by location and therapeutic focus.
Explore DirectoryBioPharmaIQ AI Company Lists
Curated intelligence on artificial intelligence companies in biotech, featuring market analysis, funding insights, and technology platforms.
View CompaniesOpen-Source Protein Folding
OpenFold Consortium
Academic & Industry Collaboration
Community-driven initiative developing open-source, high-speed protein folding models. An accessible alternative to proprietary systems, making advanced structural biology available to researchers worldwide.
Visit OpenFoldAtom Science
Computational Drug Discovery
Leading platform for AI-powered molecular screening and computational chemistry, accelerating the discovery of novel therapeutics through advanced machine learning approaches.
Explore Atom ScienceLeading Biotechnology & AI Consortia
Cross-industry collaborations establishing standards, sharing pre-competitive data, and accelerating AI adoption in life sciences.
MELLODDY Project
Machine Learning Ledger Orchestration for Drug Discovery
Major cross-industry consortium using blockchain and federated learning, enabling multiple pharmaceutical companies to train AI models on combined proprietary data without sharing actual data with competitors.
The Pistoia Alliance
AI/ML Center of Excellence
Global not-for-profit members' organization focused on pre-competitive collaboration. Establishes best practices, data standards, and collaborative projects for AI in life sciences.
Alliance for AI in Healthcare
AAIH
Global advocacy organization dedicated to innovative healthcare solutions through AI. Unites pharmaceutical companies, tech giants, and academic institutions to standardize and advance AI in life sciences.
Atomwise AIMS Program
Academic Molecular Screening
Massive collaborative network providing AI-powered molecular screening to hundreds of academic researchers worldwide, democratizing access to advanced drug discovery tools.
ATOM Consortium
Accelerating Therapeutics for Opportunities in Medicine
Public-private partnership (GSK, Lawrence Livermore National Laboratory, NCI) transforming drug discovery from a slow, sequential process into a rapid, integrated AI-driven system.
IBM Data & AI Consulting
Enterprise AI Infrastructure
Enterprise-grade AI and data platforms powering life sciences innovation, from clinical trials to regulatory compliance and drug discovery workflows.
Learn MoreResearch & Publications
Peer-reviewed research demonstrating the power of AI in drug discovery, from structure prediction to virtual screening and academic partnerships.
Discovery of a cryptic pocket in the AI-predicted structure of PPM1D phosphatase explains the binding site and potency of its allosteric inhibitors
Nature Scientific Reports • 2024
Demonstrates how AI-predicted protein structures reveal hidden binding sites for drug design.
AI-Predicted Structures Enable Discovery of Allosteric Drug Targets
ACS Journal of Medicinal Chemistry • 2024
Advanced medicinal chemistry research using AI structure prediction for drug discovery.
An efficient graph generative model for navigating ultra-large combinatorial synthesis libraries
Frontiers in Molecular Biosciences • 2023
Novel graph-based AI approaches for exploring massive chemical space in drug discovery.
AtomNet PoseRanker: Enriching Ligand Pose Quality for Dynamic Proteins in Virtual High-Throughput Screens
arXiv Preprint • 2022
Advanced pose prediction for protein-ligand interactions in large-scale virtual screening campaigns.
Machine Learning Methods in Computational Toxicology
ACS Journal of Chemical Information and Modeling • 2021
AI-driven approaches for predicting compound toxicity and safety profiles.
YC Partners With Atomwise to Fund More Bio Companies
Y Combinator Blog
Major startup accelerator partnership bringing AI drug discovery tools to emerging biotech companies.
Bringing the Power of AI Drug Discovery to Academic Partners
AUTM (Association of University Technology Managers) • Andreia Lee, PhD
Framework for academic-industry partnerships democratizing access to AI screening platforms.
MELLODDY: A 'co-opetitive' machine learning platform powered by Owkin
Owkin Case Study
Federated learning consortium enabling pharmaceutical companies to collaborate on AI models while preserving data privacy.
AI-in-Bio's Position
AI-in-Bio.com operates at the forefront of agentic AI for drug discovery, leveraging insights from the broader biotechnology ecosystem. While we chart our own path in LLM-driven proteomics and autonomous lab agents, we recognize the pioneering work of open-source initiatives, industry consortia, and collaborative networks advancing the field.
The organizations listed represent the cutting edge of AI biotechnology—from federated learning frameworks that preserve competitive advantages while enabling collective progress, to open-source protein folding models democratizing structural biology. This ecosystem accelerates innovation that ultimately benefits patients worldwide.