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用于计算疫苗学的数据库与数据挖掘

Databases and data mining for computational vaccinology.

作者信息

Flower Darren R

机构信息

Edward Jenner Institute for Vaccine Research, High Street, Compton, Berkshire, RG20 7NN, UK.

出版信息

Curr Opin Drug Discov Devel. 2003 May;6(3):396-400.

Abstract

Drugs and vaccines are keys to the effective fight against disease. While the pharmaceutical industry has developed an awesome array of real and virtual approaches to rational drug discovery, the complexity of the immune system hampers attempts to design and develop vaccines in a rational manner. The goal of immunoinformatics (the application of informatics techniques to immunological macromolecules), an emergent sub-discipline of bioinformatics, is to develop computational vaccinology as a potent tool in the quest for new vaccines. Databases and data mining, the two principal weapons at the disposal of the in silico vaccinologist, will be presented in the light of current developments.

摘要

药物和疫苗是有效对抗疾病的关键。尽管制药行业已经开发出了一系列令人惊叹的真实和虚拟方法来进行合理的药物研发,但免疫系统的复杂性阻碍了以合理方式设计和开发疫苗的尝试。免疫信息学(将信息学技术应用于免疫大分子)作为生物信息学的一个新兴子学科,其目标是将计算疫苗学发展成为寻求新型疫苗的有力工具。本文将根据当前的发展情况介绍数据库和数据挖掘这两种计算机疫苗学家可用的主要武器。

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