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Current Pharmaceutical Biotechnology

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ISSN (Print): 1389-2010
ISSN (Online): 1873-4316

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Review Article

Bioinformatics and Computer Simulation Approaches to the Discovery and Analysis of Bioactive Peptides

Author(s): Zhang Shuli, Liu Linlin, Gao Li*, Zhao Yinghu, Shi Nan, Wang Haibin and Xu Hongyu

Volume 23, Issue 13, 2022

Published on: 14 April, 2022

Page: [1541 - 1555] Pages: 15

DOI: 10.2174/1389201023666220106161016

Price: $65

Abstract

The traditional process of separating and purifying bioactive peptides is laborious and time-consuming. Using a traditional process to identify is difficult, and there is a lack of fast and accurate activity evaluation methods. How to extract bioactive peptides quickly and efficiently is still the focus of bioactive peptides research. In order to improve the present situation of the research, bioinformatics techniques and peptidome methods are widely used in this field. At the same time, bioactive peptides have their own specific pharmacokinetic characteristics, so computer simulation methods have incomparable advantages in studying the pharmacokinetics and pharmacokineticpharmacodynamic correlation models of bioactive peptides. The purpose of this review is to summarize the combined applications of bioinformatics and computer simulation methods in the study of bioactive peptides, concentrating on the role of bioinformatics in simulating the selection of enzymatic hydrolysis and precursor proteins, activity prediction, molecular docking, physicochemical properties, and molecular dynamics. Our review shows that new bioactive peptide molecular sequences with high activity can be obtained by computer-aided design. The significance of the pharmacokinetic-pharmacodynamic correlation model in the study of bioactive peptides is emphasized. Finally, some problems and future development potential of bioactive peptides binding new technologies are being prospected.

Keywords: Bioactive peptides, bioinformatics, computer-aided research methods, functions, molecular design, pharmacokineticpharmacodynamic model.

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