Suppr超能文献

基于细胞的药物化学优化高通量筛选 (HTS) 命中物,用于口服抗疟药物。第 1 部分:效力和吸收、分布、代谢、排泄/药代动力学 (ADME/PK) 中的挑战。

Cell-based medicinal chemistry optimization of high-throughput screening (HTS) hits for orally active antimalarials. Part 1: challenges in potency and absorption, distribution, metabolism, excretion/pharmacokinetics (ADME/PK).

机构信息

Calibr , 11119 North Torrey Pines Road, Suite 100, San Diego, California 92037, United States.

出版信息

J Med Chem. 2013 Oct 24;56(20):7741-9. doi: 10.1021/jm400314m. Epub 2013 Sep 13.

Abstract

Malaria represents a significant health issue, and novel and effective drugs are needed to address parasite resistance that has emerged to the current drug arsenal. Antimalarial drug discovery has historically benefited from a whole-cell (phenotypic) screening approach to identify lead molecules. This approach has been utilized by several groups to optimize weakly active antimalarial pharmacophores, such as the quinolone scaffold, to yield potent and highly efficacious compounds that are now poised to enter clinical trials. More recently, GNF/Novartis, GSK, and others have employed the same approach in high-throughput screening (HTS) of large compound libraries to find novel scaffolds that have also been optimized to clinical candidates by GNF/Novartis. This perspective outlines some of the inherent challenges in cell-based medicinal chemistry optimization, including optimization of oral exposure and hERG activity.

摘要

疟疾是一个重大的健康问题,需要新型有效的药物来应对寄生虫对现有药物库的耐药性。抗疟药物的发现历来受益于全细胞(表型)筛选方法来识别先导分子。这种方法已被多个小组用于优化弱活性抗疟药效团,如喹诺酮骨架,以产生有效的化合物,现在准备进入临床试验。最近,GNF/诺华、葛兰素史克(GSK)和其他公司也采用了高通量筛选(HTS)大型化合物库的相同方法,以寻找新的骨架,这些骨架也已被 GNF/诺华优化为临床候选药物。本文概述了基于细胞的药物化学优化中存在的一些固有挑战,包括优化口服暴露和 hERG 活性。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验