4.3 Article

Recent Development of Peptide Drugs and Advance on Theory and Methodology of Peptide Inhibitor Design

期刊

MEDICINAL CHEMISTRY
卷 11, 期 3, 页码 235-247

出版社

BENTHAM SCIENCE PUBL LTD
DOI: 10.2174/1573406411666141229163355

关键词

Peptide inhibitors; rational drug design; protein-peptide docking; wenxiang diagram; distorted key model; peptide QSAR model; amino acid interactions

资金

  1. National Science Foundation of China (NSFC) [31360207, 31370716]

向作者/读者索取更多资源

Due to the low toxicity, easy synthesis, rapid elimination, and less side effect, more and more peptide inhibitors are emerging as the effective drugs that are clinically used in therapies of a number of diseases. At the same time the computer-aided drug design (CADD) methods have remarkably developed. In this mini review the newly developed peptide inhibitors and drugs are introduced, including peptide vaccines for cancers, peptide inhibitors for HIV, Alzheimer's disease and related diseases, and the peptides as the leading compounds of drugs. The recent progress in the theory and methodology of peptide inhibitor design is reviewed. (1) The flexible protein-peptide docking model is introduced, in which the peptide structures are treated as segment-flexible chains using genetic algorithm and special force field parameters. (2) The Wenxiang diagram is illustrated for protein-peptide interaction analysis that has been successfully used in the coiled-coil interaction analysis. (3) The Distorted key theory is reviewed, which is an effective method to convert the peptide inhibitors to the small chemical drugs. (4) The amino acid property-based peptide prediction method (AABPP) is described that is a two-level QSAR prediction network for the bioactivity prediction of peptide inhibitors. (5) Finally, several types of molecular interactions between protein and peptide ligands are summarized, including cation-pi interactions; polar hydrogen-pi interactions; and pi-pi stocking interactions.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据