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基于肽的疫苗和药物设计的计算工具和数据库。

In Silico Tools and Databases for Designing Peptide-Based Vaccine and Drugs.

机构信息

Center for Computational Biology, Indraprastha Institute of Information Technology, New Delhi, India; Bioinformatics Centre, CSIR-Institute of Microbial Technology, Chandigarh, India.

Center for Computational Biology, Indraprastha Institute of Information Technology, New Delhi, India.

出版信息

Adv Protein Chem Struct Biol. 2018;112:221-263. doi: 10.1016/bs.apcsb.2018.01.006. Epub 2018 Mar 5.

Abstract

The prolonged conventional approaches of drug screening and vaccine designing prerequisite patience, vigorous effort, outrageous cost as well as additional manpower. Screening and experimentally validating thousands of molecules for a specific therapeutic property never proved to be an easy task. Similarly, traditional way of vaccination includes administration of either whole or attenuated pathogen, which raises toxicity and safety issues. Emergence of sequencing and recombinant DNA technology led to the epitope-based advanced vaccination concept, i.e., small peptides (epitope) can stimulate specific immune response. Advent of bioinformatics proved to be an adjunct in vaccine and drug designing. Genomic study of pathogens aid to identify and analyze the protective epitope. A number of in silico tools have been developed to design immunotherapy as well as peptide-based drugs in the last two decades. These tools proved to be a catalyst in drug and vaccine designing. This review solicits therapeutic peptide databases as well as in silico tools developed for designing peptide-based vaccine and drugs.

摘要

传统的药物筛选和疫苗设计方法需要耗费大量的时间、精力和资金,并且需要额外的人力。筛选和实验验证数千种具有特定治疗特性的分子从来都不是一件容易的事。同样,传统的疫苗接种方法包括使用完整或减毒的病原体,这会引起毒性和安全问题。测序和重组 DNA 技术的出现催生了基于表位的先进疫苗接种概念,即小肽(表位)可以刺激特异性免疫反应。生物信息学的出现证明了在疫苗和药物设计中的辅助作用。病原体的基因组研究有助于识别和分析保护性表位。在过去的二十年中,已经开发了许多用于设计免疫疗法和基于肽的药物的计算工具。这些工具在药物和疫苗设计中证明是一种催化剂。这篇综述征求了治疗性肽数据库以及用于设计基于肽的疫苗和药物的计算工具。

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