A researcher has proposed a more targeted approach to AI drug discovery, which includes a rigorous evaluation protocol.

(A) A comprehensive analysis of caffeine binding to one of the spike proteins; (B, C) Caffeine interacts with critical amino acids in the SARS-CoV-2 S protein’s receptor-binding domain (RBD), ...

Researchers have developed a powerful computational tool, named iDOMO, to improve the prediction of drug synergy and accelerate the development of combination therapies for complex diseases. The study ...

AlphaFold 3 (AF3), the latest AI model from Google DeepMind and Isomorphic Labs, can predict the structures and interactions of nearly all biomolecules with unprecedented accuracy, opening new avenues ...

The pharmaceutical industry is on the verge of a significant transformation due to the emergence of artificial intelligence ...

The integration of single-cell RNA sequencing (scRNA-seq) with AI has become a cornerstone for deciphering tumor heterogeneity. For instance, in pancreatic ductal adenocarcinoma (PDAC), spatial ...

Ola Engkvist is the Executive Director and Head of Molecular AI in Discovery Sciences within R&D at AstraZeneca (headquartered in Cambridge, UK). His team harnesses advanced computational technologies ...

FREMONT, Calif. & BOSTON--(BUSINESS WIRE)--Acellera Therapeutics and Psivant Therapeutics announce a strategic research collaboration to develop transformative computation approaches that will ...

By combining mass spectrometry imaging with an automated analysis tool, researchers from Hebrew University have developed a ...

About one-third of all drugs approved by the Food and Drug Administration target the largest family of cell membrane ...