Parse Biosciences and Graph Therapeutics to create one of the largest and most comprehensive immune cell perturbation atlases.

The identification of drug-target Interactions (DTIs) represents a pivotal link in the process of drug development and design. It plays a crucial role in narrowing the screening range of candidate ...

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already known about genes, diseases, treatments, molecular pathways and symptoms in ...

UM researchers have developed a deep learning model to predict compound protein interactions. GraphBAN is an inductive graph-based approach. The model is all about discovering new drug candidates in ...

Pharmaceutical-sector focussed AI startup Graph AI’s $3 Mn seed funding round was led by Bessemer Venture Partners The startup will use the capital for product innovation, team expansion, and ...

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...