抗BACE 1肽抑制剂的计算机实验研究。

Systems and Synthetic Biology Pub Date : 2015-06-01 Epub Date: 2015-03-19 DOI:10.1007/s11693-015-9169-7
Navya Raj, Agnes Helen, N Manoj, G Harish, Vipin Thomas, Shailja Singh, Seema Sehrawat, Shaguna Seth, Achuthsankar S Nair, Abhinav Grover, Pawan K Dhar
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引用次数: 7

摘要

多肽越来越多地被用作各种疾病特异性靶点的抑制剂。几种天然存在的和人工合成的多肽正在进行临床试验。我们的工作探索了重复使用非表达DNA序列来预测潜在药物靶向特异性肽的可能性。最近,我们通过实验证明了从大肠杆菌基因组的非编码区人工合成新的蛋白质。在这项研究中,从2500个基因间大肠杆菌序列中构建了一个合成肽库(Synpeps),并筛选了β -分泌酶1蛋白,这是已知的阿尔茨海默病(AD)的药物靶点。二级和三级蛋白质结构预测,然后进行蛋白质对接研究,以确定最有希望的酶抑制剂。研究了铅肽抑制剂的相互作用残基和有利的结合姿态。虽然初步结果令人鼓舞,但未来需要实验验证来开发有效的针对AD的靶向特异性抑制剂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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In silico study of peptide inhibitors against BACE 1.

Peptides are increasingly used as inhibitors of various disease specific targets. Several naturally occurring and synthetically developed peptides are undergoing clinical trials. Our work explores the possibility of reusing the non-expressing DNA sequences to predict potential drug-target specific peptides. Recently, we experimentally demonstrated the artificial synthesis of novel proteins from non-coding regions of Escherichia coli genome. In this study, a library of synthetic peptides (Synpeps) was constructed from 2500 intergenic E. coli sequences and screened against Beta-secretase 1 protein, a known drug target for Alzheimer's disease (AD). Secondary and tertiary protein structure predictions followed by protein-protein docking studies were performed to identify the most promising enzyme inhibitors. Interacting residues and favorable binding poses of lead peptide inhibitors were studied. Though initial results are encouraging, experimental validation is required in future to develop efficient target specific inhibitors against AD.

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