Computational Methods in Drug Discovery and Repurposing for Cancer Therapy
Language: English
Published by Academic Press, 2023
- First Edition
- Softcover
- New

Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
AbeBooks seller since February 27, 2001
Condition: New
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2023. 1st Edition. paperback. . . . . .
Seller Inventory # V9780443152801
- Title
- Computational Methods in Drug Discovery and Repurposing for Cancer Therapy
- Publisher
- Academic Press
- Publication year
- 2023
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0443152802
- ISBN 13
- 9780443152801
- Edition
- 1st Edition
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
"Synopsis" may belong to another edition of this title.
About the Author
Dr. V. Amouda is an Assistant Professor with a demonstrated history of working in higher education at the Department of Bioinformatics, Pondicherry University, Puducherry, India. She possesses a doctoral degree in Computer Science & Engineering from Pondicherry University. She has more than a decade of research and development experience in new computational data technologies focusing on Data analysis, Machine learning, Data mining, and Big Data analytics across biomedical areas. She has published more than 50 research articles in peer-reviewed international journals and presented many abstracts at national and international conferences. Dr. V. Amouda is a co-author of 4 book chapters published by International publishers and a reviewer of many international journals. She promotes science and progress by organizing 35 national and international conferences at various platforms in the Bioinformatics and Computer Science fields. She has a strong administrative professional experience with a track of contributing science to society by associating with various scientific bodies of Government & NGOs. She has experience in extension activities as she is a member of learned societies of national professional agencies.
Dr. Ampasala earned his PhD degree in biochemistry from Sri Venkateswara University. He spent 12 years in research and teaching at Pondicherry University, Puducherry, India, and 10 years in postdoctoral studies in cancer research in United States and Canada. Dr. Ampasala’s current research focuses are on functional genomics, molecular mechanisms of cancer, signal transduction, and computational neurobiology and has published nearly 70 peer-reviewed scholarly research articles and book chapters, which are extensively cited globally. He is a reviewer and editorial member for several biomedical/bioinformatics journals and has received several competitive research grants for his research accomplishments/contributions. He has been honored with fellow award from the Society of Plant Research (2019), and he has bagged other prestigious awards such as DST-Young Scientist (2008), DBT-Young Investigator (2015), Science Communicator-ISCA (2013, 2014), and the Best Teacher Award (2011, Pondicherry University). He received VA Merit Award from Wayne State University, Detroit, MI, United States (2005–2007) for his postdoctoral studies; research associate fellowship funded by Genomic Canada, Canada (2001-2005); and postdoctoral fellowship funded by DBT, Indian Institute of Science (1999–2001).
"About the title" may belong to another edition of this title.
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