Lead optimization aims at enhancing the most promising compounds to improve effectiveness, diminish toxicity, or increase absorption. Many of the technologies for lead discovery overlap with lead ...

Early-stage biologics discovery often focuses on binding affinity, while other developability attributes that affect downstream success are sometimes overlooked. Incorporating early developability ...

The main challenge in the process of taking a hit to a lead in drug discovery is figuring “what questions to ask and what information will best help focus lead optimization,” said Simon Hirst, Ph.D., ...

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 ...

At a Reuters conference earlier this year, Johnson & Johnson chief information officer Jim Swanson offered a striking number: artificial intelligence, he said, has cut the company’s lead optimization ...

Optibrium, a leading developer of software and AI solutions for molecular design today announced the publication of a peer-reviewed study in Journal of Computer-Aided Molecular Design, ‘From UK-2A to ...

A client of Concept Life Sciences had discovered a series of innovative peptides with strong phenotypic potency. However, progress was hindered by a lack of target engagement data, which limited the ...