| Literature DB >> 32550999 |
Brian Cox1,2, Victor Zdorichenko2, Philip B Cox3, Kevin I Booker-Milburn4,5, Romain Paumier2, Luke D Elliott4, Michael Robertson-Ralph5, Graham Bloomfield1.
Abstract
The pressure to deliver new medicines to the patient continues to grow along with increases in compound failure rate, thus putting the current R&D model at risk. Analysis has shown that increasing the three-dimensionality of potential drug candidates decreases the risk of failure and improves binding selectivity and frequency. For this reason many workers have taken a new look at the power of photochemistry as a means to generate novel sp3 rich scaffolds for use in drug discovery programs. Here we report the design, synthesis, and computational structural analysis of a series of 2,4-methanoprolines having inherent 3D character (PMI and PBF scores) significantly higher than that of the broader AbbVie Rule of 3 (Ro3) collection.Entities:
Year: 2020 PMID: 32550999 PMCID: PMC7294729 DOI: 10.1021/acsmedchemlett.0c00039
Source DB: PubMed Journal: ACS Med Chem Lett ISSN: 1948-5875 Impact factor: 4.345