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探索用于药物发现的肽的化学空间:聚焦线性和环状五肽。

Exploring the chemical space of peptides for drug discovery: a focus on linear and cyclic penta-peptides.

机构信息

School of Chemistry, Department of Pharmacy, Universidad Nacional Autónoma de México, Avenida Universidad 3000, 04510, Mexico City, Mexico.

Torrey Pines Institute for Molecular Studies, Port St. Lucie, FL, 34987, USA.

出版信息

Mol Divers. 2018 May;22(2):259-267. doi: 10.1007/s11030-018-9812-9. Epub 2018 Feb 14.

Abstract

Peptide and peptide-like structures are regaining attention in drug discovery. Previous studies suggest that bioactive peptides have diverse structures and may have physicochemical properties attractive to become hit and lead compounds. However, chemoinformatic studies that characterize such diversity are limited. Herein, we report the physicochemical property profile and chemical space of four synthetic linear and cyclic combinatorial peptide libraries. As a case study, the analysis was focused on penta-peptides. The chemical space of the peptide and N-methylated peptides libraries was compared to compound data sets of pharmaceutical relevance. Results indicated that there is a major overlap in the chemical space of N-methylated cyclic peptides with inhibitors of protein-protein interactions and macrocyclic natural products available for screening. Also, there is an overlap between the chemical space of the synthetic peptides with peptides approved for clinical use (or in clinical trials), and to other approved drugs that are outside the traditional chemical space. Results further support that synthetic penta-peptides are suitable compounds to be used in drug discovery projects.

摘要

肽和类肽结构在药物发现中重新受到关注。先前的研究表明,生物活性肽具有多种结构,并且可能具有物理化学性质,这些性质可能具有吸引力,成为命中和先导化合物。然而,表征这种多样性的化学生信研究有限。本文报告了四个合成线性和环状组合肽文库的物理化学性质特征和化学空间。作为案例研究,分析集中在五肽上。比较了肽和 N-甲基化肽文库的化学空间与具有药物相关性的化合物数据集。结果表明,N-甲基化环状肽抑制剂与可用于筛选的蛋白质-蛋白质相互作用抑制剂和大环天然产物的化学空间有很大的重叠。此外,合成肽的化学空间与已批准用于临床使用(或临床试验)的肽以及其他不在传统化学空间内的已批准药物之间存在重叠。结果进一步支持合成五肽是适合用于药物发现项目的化合物。

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