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Updated: Oct 25, 2026

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions
Published on: July 18, 2013
Computational Approach for Detection and Analysis of Human-Virus Protein-Protein Interactions
Ekjot Kaur1,2, Vishal Acharya3,4
1Artificial Intelligence for Computational Biology (AICoB) Lab, Biotechnology Division, CSIR-Institute of Himalayan Bioresource Technology (CSIR-IHBT), Palampur, Himachal Pradesh, India.
Abstract:
The realm of host-pathogen interactions (HPIs) spans a diverse spectrum of biological occurrences. Within this domain, hosts are represented by both humans and plants, while pathogens encompass a variety of agents, such as viruses, fungi, and bacteria. These interactions serve as foundational elements in the fields of immunology, microbiology, pathology, and medicine. They hold a central role in unveiling the intricate workings of pathogen invasion, host defense mechanisms, and the formulation of strategies for disease prevention and treatment. Computational approaches have emerged as potent tools for studying HPIs, especially in the case of human-virus protein-protein interactions (Hu-Vir PPI), enabling researchers to systematically explore how viruses invade and manipulate host cellular processes. This chapter serves as a comprehensive guide to the computational methods employed for the analysis of Hu-Vir PPI, offering insight into their utility and application.
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