While retrieval augmented generations (RAGs) and agents grab attention, what’s next is really a search across your data.

Life’s a lot better when you stay curious and open-minded about the world. That’s easier said than done, however. Adult ...

A team of Chinese researchers led by Prof. GAO Caixia from the Institute of Genetics and Developmental Biology of the Chinese ...

The company has integrated the AI model into its internal discovery pipeline and aims to use it in collaborative drug ...

By combining artificial intelligence with automated robotics and synthetic biology, researchers have dramatically improved ...

The SAIR database is designed to help scientists train AI models to better predict protein-ligand binding affinities for drug ...

Proteins are biopolymers of amino acids (polypeptides), joined by peptide bonds, that are generated by ribosomes. The amino acid sequence, encoded by its gene, determines a protein’s structure ...

Plants produce a wide diversity of compounds. Broadly, these are separated into primary metabolites, which are necessary for ...

Protein function predictions are bioinformatic methods (i.e. involving computation using software) that aim to predict the function of a protein. Protein function analyses use protein sequences ...

Here we use cryogenic electron microscopy to determine the structure of TbAQP2 from Trypanosoma brucei, bound to either the substrate glycerol or to the sleeping sickness drugs, pentamidine or ...

Over the past five years there has been an explosion of research the deep learning field. Companies like Google, Facebook, and OpenAI have created neural networks that are significantly more accurate ...