Explore the innovative generative AI method transforming drug discovery and material science at unprecedented speeds.

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry challenges like the "patent cliff" and high clinical failure rates. AI-driven ...

Figure 1. This figure depicts the four categories of protein druggability target screening tools discussed in this section, which include structure-based methods, sequence-based methods, machine ...

Researchers from Tsinghua University and Peking University have unveiled DrugCLIP, a new AI-driven screening program they say could speed up drug discovery (Science 2026, DOI: 10.1126/science.ads9530) ...

In drug discovery, virtual screening is a fast and cost-effective way of narrowing down vast chemical libraries to identify the most promising hits, reducing synthesis and testing requirements while ...

Many natural compounds that act on the human body provide active ingredients for medicines or clues for developing them, and ...

A paper published in Biology Methods and Protocols, indicates that a new computational method may help researchers identify ...

Explore the role of transcription factor biology in drug discovery and how it impacts our understanding of disease mechanisms ...

This article is based on a poster originally authored by Daniel A. Barr, Mario Öeren, Peter A. Hunt, Jonathan D. Tyzack, Tomáš Chrien, Tamsin E. Mansley and Matthew D. Segall, which was presented at ...

The development of new therapeutics targeting protein kinases is crucial in the fight against diseases like cancer.