Host-Pathogen Interaction Databases: Tools for Rapid Understanding of Microbial Pathogenesis.

IF 4.6 3区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL
WIREs Mechanisms of Disease Pub Date : 2025-01-01 Epub Date: 2024-11-26 DOI:10.1002/wsbm.1654
Abdul Arif Khan, Pooja Wakchoure, Fozia Farooq, Muhammad J A Shiddiky, Sudhir Kumar Jain
{"title":"Host-Pathogen Interaction Databases: Tools for Rapid Understanding of Microbial Pathogenesis.","authors":"Abdul Arif Khan, Pooja Wakchoure, Fozia Farooq, Muhammad J A Shiddiky, Sudhir Kumar Jain","doi":"10.1002/wsbm.1654","DOIUrl":null,"url":null,"abstract":"<p><p>Understanding of microbial pathogenesis has greatly revolutionized after conventional culture-based techniques are replaced by molecular methods. This technological shift is generating huge host-pathogen interactions (HPIs) data. Moreover, computational predictions of biological interactions are also adding to HPI understanding. Recently, several dedicated databases are developed for exclusively cataloging HPIs. Present article covers about some available HPI databases, types, and evolution of this area, along with recent trends in the application of these databases for biological research. As per the recent understanding in microbial pathogenesis, HPIs are considered highly dynamic in nature with multiple outcomes, which goes beyond simple microbes-disease association. Therefore, careful cataloging of complete information about HPIs can open several avenues to understand microbial pathogenesis considering their multifaceted effects on host system. HPI databases are indispensable tools for understanding microbial pathogenesis, and this article provides comprehensive information about their uses in the field of microbial pathogenesis research.</p>","PeriodicalId":29896,"journal":{"name":"WIREs Mechanisms of Disease","volume":" ","pages":"e1654"},"PeriodicalIF":4.6000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"WIREs Mechanisms of Disease","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/wsbm.1654","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/11/26 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

Understanding of microbial pathogenesis has greatly revolutionized after conventional culture-based techniques are replaced by molecular methods. This technological shift is generating huge host-pathogen interactions (HPIs) data. Moreover, computational predictions of biological interactions are also adding to HPI understanding. Recently, several dedicated databases are developed for exclusively cataloging HPIs. Present article covers about some available HPI databases, types, and evolution of this area, along with recent trends in the application of these databases for biological research. As per the recent understanding in microbial pathogenesis, HPIs are considered highly dynamic in nature with multiple outcomes, which goes beyond simple microbes-disease association. Therefore, careful cataloging of complete information about HPIs can open several avenues to understand microbial pathogenesis considering their multifaceted effects on host system. HPI databases are indispensable tools for understanding microbial pathogenesis, and this article provides comprehensive information about their uses in the field of microbial pathogenesis research.

宿主-病原体相互作用数据库:快速了解微生物致病机理的工具。
传统的培养技术被分子方法取代后,人们对微生物致病机理的认识发生了巨大变化。这一技术转变产生了大量的宿主-病原体相互作用(HPIs)数据。此外,对生物相互作用的计算预测也增加了对 HPI 的了解。最近,开发了几个专门用于编目 HPIs 的数据库。本文介绍了一些可用的 HPI 数据库、类型、这一领域的演变,以及将这些数据库应用于生物研究的最新趋势。根据微生物致病机理的最新认识,HPIs 被认为是具有多种结果的高度动态性质,超越了简单的微生物-疾病关联。因此,考虑到微生物致病机理对宿主系统的多方面影响,对完整的微生物致病机理信息进行仔细编目可为了解微生物致病机理开辟多种途径。HPI 数据库是了解微生物致病机理不可或缺的工具,本文将全面介绍其在微生物致病机理研究领域的用途。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
WIREs Mechanisms of Disease
WIREs Mechanisms of Disease MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
11.40
自引率
0.00%
发文量
45
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信