With advanced simulations, scientists at Argonne, UChicago have created a way to predict and engineer new properties for ...

See how Willow’s 1 trillion measurements and 99.97 percent accuracy unlock molecular insights, AI advances, and engines ...

Molecular kinetic modeling in petroleum processing represents a critical advancement in understanding the intricate reaction mechanisms at the molecular level, thereby enhancing process optimisation ...

Researchers from the Massachusetts Institute of Technology (MIT) Jameel Clinic for Machine Learning in Health have announced the open-source release of Boltz-2, which now predicts molecular binding ...

NEW YORK--(BUSINESS WIRE)--Schrödinger (Nasdaq: SDGR), whose physics-based computational platform is transforming the way therapeutics and materials are discovered, and two City University of New York ...

Genomic modeling and design have the potential to transform synthetic biology research. However, researchers face bottlenecks due to insufficient tools that fail to support a deep understanding of the ...

AI, ML, and statistical algorithms guide solubilization method selection, demonstrated with compound CVN424. In a poster presentation at AAPS PharmSci 360, by Dineli Ranathunga, PhD, indicates that AI ...

The University of Chicago announced this week the formation of the first U.S.-based node of the Centre Européen de Calcul Atomique and Moléculaire (European Centre for Atomic and Molecular Computation ...

Ribonucleic acid (RNA) is one of life's most versatile molecules, with roles going far beyond being a messenger of genetic ...

Last year, researchers at the University of California, Riverside, developed a novel "molecular crowbar" strategy to degrade ...

Molecular lesion data in LR-MDS prognostic models reduce the significance of traditional parameters like bone marrow blast percentage. Molecular data altered risk stratification for 30% of patients, ...