Researchers at McMaster University have developed a new generative artificial intelligence (AI) model capable of drastically speeding up drug discovery - and, in early tests, it has already designed a ...

On 25 April 1953, Watson and Crick published an article, in the acclaimed journal “Nature” titled “Molecular structure of nucleic acids: A structure for deoxyribonucleic acid”. The one-page article ...

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

With no military quick-fix in sight to the ongoing, convoluted West Asian conflict it ought to be clear to the rationally inclined that there is no other way to a solution to the blood-letting other ...

Abstract: Drug-drug interaction (DDI) can trigger many adverse effects in patients and has emerged as a threat to medicine and public health. Therefore, it is important to predict potential drug ...

This important study advances a new computational approach to measure and visualize gene expression specificity across different tissues and cell types. The framework is potentially helpful for ...

Variational AI introduces Enki™ 4: an improved algorithm and architecture designed to scale, expanding the pre-trained target coverage from 592 to 760 and now applicable to proximity-based ...

Variational AI today announced the release of Enki™ 4, a major update to its generative AI platform for small-molecule drug discovery. The release of the fourth generation of Enki™ delivers ...

Its new transcription model is a step toward those goals, says Microsoft AI’s Mustafa Suleyman. Its new transcription model is a step toward those goals, says Microsoft AI’s Mustafa Suleyman. is The ...

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular simulations for unprecedented lengths of time, even at temperatures as high as ...

Abstract: Generating drug-like molecules that specifically bind to target proteins remains a resource-intensive challenge. Many studies focus on designing effective networks to accurately extract ...