Sanford Burnham Prebys is one of several institutions contributing to the federally funded project called PREDICTS ...

In this article, we examine ongoing challenges shaping target-based drug discovery and highlight how new technologies and ...

Developing high-quality, safe, and effective drugs is a complex process that requires varied scientific skills and stringent regulatory assessments. Drug development is a process that spans many years ...

In 2001, chemists K. Barry Sharpless, Hartmuth C. Kolb, and M. G. Finn introduced click chemistry, a concept in which organic ...

Researchers have used a cutting-edge robotic system capable of synthesizing hundreds of metal complexes to develop a possible ...

Conventional drug delivery is known for being both a lengthy and expensive process, with pre-clinical testing taking between three to six years and costing between hundreds of millions of dollars to ...

Computational drug discovery and design embodies the integration of advanced computational methods, machine learning, and cheminformatics to streamline the identification and optimisation of ...

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 ...

At the heart of every biological process, from the replication of cells to the functioning of the human brain, lies the intricate world of proteins. Understanding the structure of these molecules, ...

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