As biological data volume continues to grow, sequence-based AI is poised to become the dominant discovery layer across pharma ...
MIT scientists have released a powerful, open-source AI model called Boltz-1 that could significantly accelerate biomedical research and drug development. The paper is available on the bioRxiv ...
A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...
John Jumper (S.M. ’12, Ph.D. ’17) was awarded the Nobel Prize in Chemistry in 2024 for his contributions to the development of AlphaFold, an AI model that revolutionized protein structure prediction.
Protein scientists could improve reproducibility and coordination across the field by rallying around a small, shared set of ...
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SandboxAQ Supercharges OpenFold3 with AQAffinity: High-Speed, Structure-Free Drug Potency Prediction
Rapid, structure-free binding affinity prediction enables OpenFold3 to address key bottleneck in commercial early-stage drug discovery PALO ALTO, Calif., Jan. 20, 2026 /PRNewswire/ -- SandboxAQ today ...
Announcing a new publication for Acta Materia Medica journal. Proteins are essential macromolecules that perform functions according to their conformational dynamics. Studying the conformational ...
No gene acts alone: interacting variants and protein partnerships can worsen, mask or even rescue disease risk, demanding ...
We know the genes, but not their functions—to resolve this long-standing bottleneck in microbial research, a joint research team has proposed a cutting-edge research strategy that leverages artificial ...
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