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Computational Virology

By Muley, Vijaykumar Yogesh

Product Image: Computational Virology

Computational Virology

By Muley, Vijaykumar Yogesh

0 - Default Title
Description
This volume explores computational methods for the rapid analysis of viral infections and strategies for their mitigation, which have significantly advanced the understanding of viral pathogenesis and host responses. Beginning with methods for identifying viral genomes from metagenomic sequencing data, the book progresses to topics such as next-generation sequencing to study host responses against viral infections, virus-host protein interactions to identify therapeutic targets, viral taxonomy, zoonotic transmission, reverse zoonosis, and antivirals, including their mechanisms of action, focusing on virus entry and life cycle. Practical workflows for identifying potential drug-like compounds from resources such as PubChem are also covered. Written for the highly successful Methods in Molecular Biology series, chapters include detailed implementation advice to ensure successful experimental results. Authoritative and practical, Computational Virology provides researchers, students, and professionals in virology, bioinformatics, artificial intelligence, and systems biology with critical insights into the challenges posed by viral pathogens.
Product details
Number of Pages:
336
Release Date:
2025-06-03
Publication Date:
2025-06-03
Publisher:
Springer US
Languages:
Original: English
ISBN10:
1071645455
ISBN13:
9781071645451
GPSR Manufacturer Reference:
[email protected]
Weight:
829 g
Height:
183 cm
Width:
260 cm
Thickness:
24 cm
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