Water molecules are emerging as pivotal players in drug design and the molecular dynamics of protein–ligand complexes. Their unique properties not only mediate solvation effects and contribute to the ...

Computational methods have revolutionised drug design by integrating molecular dynamics simulations with advanced free energy calculations. This approach allows researchers to predict binding ...

Neo-1 is the first model to unify de novo molecular generation and atomic-level structure prediction in a single model, by generating latent representations of whole molecules instead of predicting ...

Researchers at the Center for Computational Sciences, University of Tsukuba, have developed an accessible platform to ...

Partnership will deliver AI-guided end-to-end workflow to access challenging membrane protein targets To de-risk and shorten path to critical structural and biophysical insights that inform ...

About one-third of all drugs approved by the Food and Drug Administration target the largest family of cell membrane receptors called G protein-coupled receptors (GPCRs). GPCRs are indispensable for ...

This process is costly, time-consuming, and has a low success rate. KAIST researchers have developed an AI model that, using only information about the target protein, can design optimal drug ...

The review details how fibrous proteins such as collagen, keratin, and silk, along with adhesive proteins and elastin, can be tailored through chemical modifications and de novo molecular design to ...

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 ...

TOKYO--(BUSINESS WIRE)--Elix, Inc. (CEO: Shinya Yuki / Headquarters: Tokyo; hereinafter “Elix”) is pleased to announce that its AI drug discovery platform, Elix ...