The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 possible variants—more combinations than atoms in the observable universe.
Researchers from the Department of Computer Science at Bar-Ilan University and from NVIDIA's AI research center in Israel ...
Key TakeawaysDigital twins are ultra-accurate computer-based simulations of complex physical systems used for exploring "what ...
Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left guessing how to achieve similar results.
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