Computational Methods in Drug Discovery and Repurposing for Cancer Therapy

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Academic Press


Paru le : 2023-03-22

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Description
Computational Methods in Drug Discovery and Repurposing for Cancer Therapy provides knowledge about ongoing research as well as computational approaches for drug discovery and repurposing for cancer therapy. The book also provides detailed descriptions about target molecules, pathways, and their inhibitors for easy understanding and applicability. The book discusses tools and techniques such as integrated bioinformatics approaches, systems biology tools, molecular docking, computational chemistry, artificial intelligence, machine learning, structure-based virtual screening, biomarkers, and transcriptome; those are discussed in the context of different cancer types, such as colon, pancreatic, glioblastoma, endometrial, and retinoblastoma, among others. This book is a valuable resource for researchers, students, and members of the biomedical and medical fields who want to learn more about the use of computational modeling to better tailor the treatment for cancer patients. - Discusses in silico remodeling of effective phytochemical compounds for discovering improved anticancer agents for substantial/significant cancer therapy - Covers potential tools of bioinformatics that are applied toward discovering new targets by drug repurposing and strategies to cure different types of cancers - Demonstrates the significance of computational and artificial intelligence approaches in anticancer drug discovery - Explores how these various advances can be integrated into a precision and personalized medicine approach that can eventually enhance patient care
Pages
456 pages
Collection
n.c
Parution
2023-03-22
Marque
Academic Press
EAN papier
9780443152801
EAN PDF
9780443152818

Informations sur l'ebook
Nombre pages copiables
45
Nombre pages imprimables
45
Taille du fichier
15401 Ko
Prix
151,92 €
EAN EPUB SANS DRM
9780443152818

Informations sur l'ebook
Prix
151,92 €

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