As biological data volume continues to grow, sequence-based AI is poised to become the dominant discovery layer across pharma ...

Determining the complete Arabidopsis (Arabidopsis thaliana) protein-protein interaction network is essential for understanding the functional organization of the proteome. Numerous small-scale studies ...

Fully open source model accurately predicts the 3D structures of proteins and biomolecules in silico, and serves as a foundational model for next generation of cutting-edge Protein AI tools The ...

Harnessing the power of AI, a research team at the MRC-University of Glasgow Center for Virus Research has launched Viro3D—the most comprehensive database of human and animal virus protein structure ...

Three scientists were named winners of the 2024 Nobel Prize in Chemistry for their innovations in the fields of computational protein design and structure prediction. One half of the prize was awarded ...

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 ...

Abstract:Professor Hirotoshi Mori (Department of Applied Chemistry, Faculty of Science and Engineering, Chuo University), together with Nichika Ozawa ...

“Crystal Math” uses equations—and minimal resources—to rapidly predict the 3D structures of molecular crystals, which could speed up R&D for drugs and electronic devices Researchers at New York ...

Soil liquefaction—the process where saturated soil loses its structure and transforms to a fluid-like state—can have devastating outcomes, as evidenced by the Great East Japan Earthquake in 2011.

Researchers have devised a mathematical approach to predict the structures of crystals -- a critical step in developing many medicines and electronic devices -- in a matter of hours using only a ...