Explore AI in drug discovery and its journey from promise to proof in 2025 with significant achievements and challenges faced.

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

This figure illustrates three key applications of AI in antimicrobial drug development: (1) target identification and validation, including novel target discovery, affinity prediction, multi-target ...

Zhongyao Ma, PhD, holds a bachelor’s degree in biology from Shanghai Jiao Tong University and a PhD in genetics and developmental biology from the University of Georgia, U.S. His research focused on ...

Membrane proteins are vital for cellular signaling, transport, and communication, making them attractive drug targets despite their challenging properties. Advances in mass spectrometry have enabled ...

This article and associated images are based on a poster originally authored by Paulina Chorobik, Maciej B. Olszewski, John Vincent and Kirsty Winn and presented at ELRIG Drug Discovery 2025 in ...

AI has fundamentally altered the feasibility of natural product discovery from fungal endophytes. Advances in genome sequencing, metabolomics, and systems biology have generated vast datasets, but ...

The MarketWatch News Department was not involved in the creation of this content. -- Oversubscribed GBP2.5M seed round led by Ahren Innovation Capital -- Strategic collaboration with o2h to progress ...

Forbes contributors publish independent expert analyses and insights. Gil Press writes about technology, entrepreneurs and innovation. Precision medicine recently received a significant boost with the ...

This new article publication from Acta Pharmaceutica Sinica B, discusses how neg-entropy is the true drug target for chronic diseases.