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Written by esteemed author Ganji Purnachandra Nagaraju, this book delves into the world of computational approaches for drug discovery and repurposing in the realm of cancer therapy. It provides an in-depth exploration of ongoing research, target molecules, pathways, and their inhibitors, making it an invaluable resource for researchers, students, and professionals in the biomedical and medical fields.
The book covers a range of topics, including integrated bioinformatics approaches, systems biology tools, molecular docking, computational chemistry, artificial intelligence, machine learning, structure-based virtual screening, biomarkers, and transcriptome. These cutting-edge techniques are discussed in the context of various cancer types, such as colon, pancreatic, glioblastoma, endometrial, and retinoblastoma, among others.
By examining the applications of computational modeling in cancer treatment, this book aims to facilitate a deeper understanding of how to tailor therapy to individual patients’ needs. It highlights the significance of computational and artificial intelligence approaches in anticancer drug discovery, ultimately leading to enhanced patient care through precision and personalized medicine.
This comprehensive guide covers:
Published by Elsevier Science in March 2023, this book is a valuable asset for anyone seeking to advance their knowledge of computational methods in drug discovery and repurposing for cancer therapy. With its detailed descriptions, real-world examples, and cutting-edge research, it is an essential resource for those committed to improving cancer treatment outcomes.
Language: English
ISBN: 9780443152801 (Hardcover) | 9780443152818 (Paperback)
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