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 ...

Scientists Seek to Develop New and Better Ways to Look at Existing Data At CHI’s “World Pharmaceutical Congress” held recently in Philadelphia, there was no shortage of good ideas for ways to optimize ...

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 ...

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 ...

“The public outcome of compound claim cases indicates that the success rate is much lower when compared with challenges of other types of claims.” Patent challenges are an indispensable part of the ...

High-throughput screening (HTS) campaigns are frequently carried out early in a drug discovery project for target validation and identification of validated hits. In HTS analysis, it is important to: ...

“Selection of an “acceptable” lead is probably the most important governing factor in compound claim challenges, with the potential to make or break the case.” In an earlier article, “Tips for ...