Drug discovery requires two separate steps: checking whether a drug can bind to a harmful molecule or its receptor, and ...

Deep EigenMatics, Inc., a pioneer in high-velocity Artificial Intelligence for drug design, announced today that it has secured the #1 global ranking for new U.S. patent families in AI Drug Discovery ...

Overview AI is speeding up drug discovery by analyzing large biological and chemical data in a short time.Deep learning and AI systems help design new drug mole ...

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

The global artificial intelligence (AI) in drug discovery market is experiencing rapid expansion, driven by the need to reduce the high costs and long timelines of traditional pharmaceutical ...

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) ...

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 ...

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 ...

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 ...