Amazon Bio Discovery
Design Better Antibodies with AI-Powered Lab-in-the-Loop Workflows
What is Amazon Bio Discovery
Amazon Bio Discovery gives scientists direct access to biological AI models trained on vast biological datasets. These specialized AI models generate and evaluate potential antibody therapies, but access alone isn't enough. AI agents help you select the right models for your research goals, optimize inputs, and evaluate candidates before seamlessly sending them to integrated lab partners for synthesis and testing. Results automatically route back to the application for analysis and model refinement, creating a lab-in-the-loop experimentation cycle that builds institutional knowledge with every iteration.
How it works
Build
Access a specialized catalog with built-in benchmarks that show model performance on real antibody optimization tasks. AI agents help you select and orchestrate the right models for your research goals, or your computational biologist can create custom multi-step pipelines combining hosted models or your own proprietary models. Published pipelines become self-service templates your entire team can reuse.
Design
Work with AI agents to upload your target structure and define your research goals. The agent identifies optimal binding hotspots, recommends design parameters, and explains its reasoning with literature references. Your pipeline generates thousands of ranked candidates based on structural confidence, binding affinity, and humanness.
Test
AI agents use Pareto-based multi-objective optimization to recommend the best candidates from your array. Filter by the criteria that matter for your program, select top performers, and submit directly to integrated lab partners with transparent pricing and turnaround times.
Learn
Wet-lab results route back to your originating experiment automatically. Compare predictions against actual outcomes to see what worked, then use your results to refine models on your proprietary data for smarter predictions in the next cycle.
We're glad to be able to join forces with Amazon Bio Discovery to develop the next generation of antibodies that will potentially speed up the process to help patients worldwide
Dr. Nai-Kong Cheung
Enid A. Haupt Chair in Pediatric Oncology, Memorial Sloan Kettering Cancer CenterTraining models in one place and operationalizing them in another required real effort. Amazon Bio Discovery provides a convenient solution that enables application of new AI models for designing and evaluating novel molecules.
Jeron Chen, PhD
Senior Director, Head of Data Science & Bioinformatics, Voyager Therapeutics, Inc.As a protein engineer managing many different antibody discovery experiments, keeping pace with the rapidly evolving field of bioFM design while ensuring projects move forward is a constant challenge. Amazon Bio Discovery provides a scalable application with AI-powered analysis and automated experiment tracking that helps identify and optimize lead candidates for therapeutic discovery at the Broad. This integrated approach is essential to our drug discovery process.
Mrinal Shekhar, Ph.D.
Group Leader and Senior Research Scientist I, Broad InstituteValidated with Memorial Sloan Kettering Cancer Center
Memorial Sloan Kettering Cancer Center partnered with Amazon Bio Discovery to accelerate antibody development for pediatric cancer. Using AI agents to orchestrate multiple models, they designed nearly 300,000 novel antibody molecules and sent the top 100,000 candidates for testing. What typically takes up to a year using traditional design methods took weeks from designing the candidates to sending them to lab testing.
