Computational Methods In Drug Discovery And Repurposing For Cancer Therapy (Original PDF From Publisher)

Computational Methods In Drug Discovery And Repurposing For Cancer Therapy (Original PDF From Publisher)

Written by Ganji Purnachandra Nagaraju

Knowledge on current research and computational methods for drug discovery and repurposing for cancer therapy can be found in Computational Methods in

Drug Discovery and Repurposing for Cancer Therapy.

For easy comprehension and application, the book also includes thorough explanations of target molecules, pathways and their inhibitors.

A variety of cancer types, including colon, pancreatic, glioblastoma, endometrial and retinoblastoma, are discussed in the book along with tools and techniques

like integrated bioinformatics approaches, systems biology tools, molecular docking, computational chemistry, artificial intelligence, machine learning,

structure-based virtual screening, biomarkers and transcriptome.

Researchers, students and professionals in the biological and medical professions who wish to learn more about the application of computational modeling to

more effectively customize cancer patient care should definitely pick up this book.

examines the in silico modification of potent phytochemical molecules to find better anticancer drugs for significant/substantial cancer treatment.

discusses prospective bioinformatics technologies that might be used to find novel targets through drug repurposing and methods to treat various tumors.

demonstrates the value of using artificial intelligence and computation in the development of anticancer drugs.

examines the ways in which these diverse developments might be used to create a tailored and precision medicine strategy that will ultimately improve patient

care.