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

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.

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Publication Details

Journal
WIREs Mechanisms of Disease
Published
2024-11-26
DOI
https://doi.org/10.1002/wsbm.1654
Citations
1
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.23

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article

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

Pooja Wakchoure, Muhammad J. A. Shiddiky, Fozia Farooq, S. K. Jain et al.
1 citations
WIREs Mechanisms of Disease
Genomics and Phylogenetic Studies
0.23
article

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

Pooja Wakchoure, Muhammad J. A. Shiddiky, Fozia Farooq, S. K. Jain, Abdul Arif Khan
article en
1 citations

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.

WIREs Mechanisms of DiseaseVol. 17(1)
Charles Sturt University (AU), Vikram University (IN)
Department of Science and Technology, Ministry of Science and Technology, India, Science and Engineering Research Board
Openalex Percentile: Top 41%
Genomics and Phylogenetic Studies
0.23
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