DECAF: Genesis AI-Based Framework for Faster and Computationally Efficient All-Atom Protein Cofolding
The high computational cost of generating accurate atomic-level biomolecular structures remains a major challenge in AI-driven drug discovery. Researchers from Genesis Molecular AI, MIT,...
Boltz Launches BoltzMol-1, BoltzProt-1, and a New API for Small Molecule Hit Discovery and...
Drug discovery has always been brutally slow. You pick a target, screen hundreds of thousands of compounds, watch most of them fail, spend months...
What If Molecular Simulations Could Run 10,000 Times Faster?
Conventional molecular dynamics (MD) simulations provide atomistic insights into molecular behavior but are fundamentally limited by their femtosecond time steps, making it computationally challenging...
How D&D-seq Is Making Hard-to-Detect DNA-Protein Interactions Visible
If you've ever tried to figure out exactly where a transcription factor sits down on the genome inside a single cell, you know it's...
BioReason-Pro Allows Structured Reasoning for Protein Function Predictions
A team of scientists from the University Health Network - Canada's Hospital, Arc Institute and Vector Institute developed BioReason-Pro to tackle one of the...