Computational drug design for SARS-CoV-2 inhibition has emerged as a keystone in the rapid discovery of antiviral leads, drawing on advances in structural biology, cheminformatics and artificial ...

While public conversations may often focus on chatbots and workplace automation, To sees specialized AI systems trained on ...

SHANGHAI & BOSTON--(BUSINESS WIRE)--Perpetual Medicines today announced it has closed an $8 million seed financing to advance its integrated computational design and synthesis platform for peptide ...

Hitting targets embedded within the cell membrane has long been difficult for drug developers due to the membrane's challenging biochemical properties. Now, Scripps Research chemists have demonstrated ...

Researchers are left with the challenge of predicting how strongly a potential drug molecule will bind to its target, so there is a high demand for computational approaches that can design compounds ...

In early-phase drug discovery, we do a good job of tracking the obvious productivity metrics, like compound attrition rates, hit-to-lead timelines, and computational resource spend. Other costs are ...

A Florida State University computational scientist is paving the way for future medical breakthroughs by developing ...

Bridges between Research and Therapy, an international conference held in Bari, Italy, that brought together clinicians, pharmacologists, molecular biologists, biochemists, and computational ...

Discover how Optibrium is transforming early-stage drug discovery through AI-powered software, generative chemistry, and 3D modelling. In this interview, Matt Segall, CEO at Optibrium, shares insights ...