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

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

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 ...

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 ...

Computational Chemistry is the study of complex chemical problems using a combination of computer simulations, chemistry theory and information science. Also called cheminformatics, this field enables ...

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

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 ...

Scientists use quantum many-body data and machine learning to boost density functional theory accuracy for chemistry and materials science. (Nanowerk News) A new trick for modeling molecules with ...

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, ...

Organic light-emitting diodes (OLEDs) have become a cornerstone in display and lighting technologies, driving the demand for efficient organic thermally activated delayed fluorescence (TADF) materials ...