Cox Brian, Zdorichenko Victor, Cox Philip B, Booker-Milburn Kevin I, Paumier Romain, Elliott Luke D, Robertson-Ralph Michael, Bloomfield Graham
School of Life Sciences, University of Sussex, Brighton BN1 9QJ, U.K.
Photodiversity Ltd, c/o School of Life Sciences, University of Sussex, Brighton BN1 9QJ, U.K.
ACS Med Chem Lett. 2020 Mar 27;11(6):1185-1190. doi: 10.1021/acsmedchemlett.0c00039. eCollection 2020 Jun 11.
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 sp 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.
随着化合物失败率的上升,向患者提供新药的压力持续增大,从而使当前的研发模式面临风险。分析表明,增加潜在药物候选物的三维性可降低失败风险,并提高结合选择性和频率。因此,许多研究人员重新审视了光化学的力量,将其作为一种手段来生成用于药物发现计划的富含sp的新型支架。在此,我们报告了一系列具有固有3D特征(PMI和PBF评分)的2,4-亚甲基脯氨酸的设计、合成及计算结构分析,其3D特征显著高于更广泛的艾伯维三规则(Ro3)集合。