Isomorphic Labs, a spin-off from DeepMind, is applying AI-first principles to drug discovery rather than just protein ...

P2Rank: Protein-ligand binding site prediction from protein structure based on machine learning.

This valuable work presents an interpretable protein-DNA Energy Associative (IDEA) model for predicting binding sites and affinities of DNA-binding proteins. The study provides a detailed description ...

In this paper, the authors present an interesting strategy to interfere with the HBV life cycle: the preparation of geranyl and peptides' dimers that could impede the correct assembly of hepatitis B ...

"A key feature of our method is blind docking, which predicts how the redesigned protein interacts with its ligand without the need for predefined binding site information," Hy said. "This ...

This asymmetry in the native structure of transthyretin also presents a hypothesis for how the process of dissociation and ...

“A key feature of our method is blind docking, which predicts how the redesigned protein interacts with its ligand without the need for predefined binding site information,” Hy said. “This streamlined ...

A multi-institutional team of investigators have developed a catalog of transcription factor binding sites that regulate gene expression across the genome, according to a recent study published in ...

Accumulation of fat molecules is detrimental to the cell. Researchers from the Yong Loo Lin School of Medicine, National ...