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Computational Virology: With Online Files: 2927 (Methods in Molecular Biology, 2927) - Tapa dura

Libro 304 de 381: Methods in Molecular Biology
 
9781071645451: Computational Virology: With Online Files: 2927 (Methods in Molecular Biology, 2927)
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ISBN 10: 1071645455 ISBN 13: 9781071645451
Editorial: Humana, 2025

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Humana
Año de publicación
2025
Idioma
Inglés
ISBN 10 
1071645455
ISBN 13 
9781071645451
Encuadernación
Tapa dura
Número de páginas
334
Editor
Muley Vijaykumar Yogesh
Contacto del fabricante
Springer Nature Customer Service Center GmbH
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