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

Researchers in China have unveiled a new AI framework that could accelerate the discovery of new medicines. DrugCLIP can scan ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

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

High-resolution analytical platforms, proteomics-driven workflows, and expanding CRO outsourcing reshape strategic priorities ...

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) ...

Biologists from the University of York (UK) have discovered enzymes that catalyze the biosynthesis of alkaloids in a number ...

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

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 ...

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 ...