Systems Biology Approaches for Host-Pathogen Interaction Analysis aids biological researchers in expanding their research scope using piled up data generated through recent technological advancements. In addition, it opens avenues for bioinformatics and computer science researchers to utilize their expertise in biologically meaningful ways. Other areas covered include network biology approaches to decipher complex multiple host-pathogen interactions in addition to valuable coverage of artificial intelligence. This book bridges these gaps through a new paradigm of understanding the consequences of interactions in biological networks. Host-pathogen interactions are generally considered as highly specific interactions leading to a variety of consequences. The utilization of data science approaches has revolutionized scientific research including host-pathogen interaction analyses. Data science approaches coupled with network biology has taken host-pathogen interaction analysis from specific interaction to a new paradigm of understanding consequences of these interaction in the biological network.
1. Host-pathogen interactions: a general introduction
2. Host Pathogen Interactions: Databases and Approaches for Data Generation
3. Generation of Host-Pathogen Interaction Data: An Overview of Recent Technological Advancements
4. Molecular Omics: A Promising Systems Biology Approach to Unravel Host-Pathogen Interactions
5. Computational methods for detection of host-pathogen interactions
6. Biological interaction networks and their application for microbial pathogenesis
7. Dual transcriptomics data and host-pathogen interaction detection
8. Functional overrepresentation analysis and its applications in microbial pathogenesis
9. Advancements in systems biology based analysis of microbial pathogenesis
10. Host-Pathogen interactions with special reference to microbiota analysis and integration of systems biology approaches
11. Role of Non-Coding RNAs in Host-Pathogen Interactions: A Systems Biology Approach
12. Systems Biology in Food Industry: Applications in Food Production, Engineering and Pathogen Detection
Mohd. Tashfeen Ashraf is currently working as Assistant Professor in the School of Biotechnology, Gautam Buddha University (GBU). After securing his Masters degree in biochemistry, he earned his Doctorate in Biotechnology from Aligarh Muslim University, India, during which he characterized the folding intermediates of various proteins. His research area involves the study of folding behavior of proteins, their structurefunction relationship, and proteinprotein interactions under normal and disease conditions. Abdul Arif Khan is a Microbiologist by training with an interest in the field of host-pathogen interactions, systems biology, and cancer biology. He has received several awards and Fellowships from national and international organizations, including the Royal Society for Public Health and the Federation of European Microbiological Societies. He is a recipient of several grants for his research on artificial Intelligence and host-pathogen interactions. He is credited with several papers and books related to systems biology and host-pathogen interaction analysis.
Fahad M. Aldakheel is an Associate Professor of Clinical Immunology at the Department of Clinical Laboratory Sciences, College of Applied Medical Sciences at King Saud University in Riyadh, Saudi Arabia. He obtained his PhD from the University of Melbourne, Australia. He is a board member of the Saudi Society for Clinical Laboratory Sciences. He has several scientific publications in national and international journals, and is also working as a member and a reviewer in several scientific organizations.
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