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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.

Drug development. --- Drugs --- Drug Development. --- Drug Discovery. --- Antineoplastic Agents. --- Effectiveness. --- Drug effectiveness --- Drug efficacy --- Effectiveness of drugs --- Efficacy of drugs --- Development of drugs --- New drug development --- Pharmacology --- Pharmacy --- Efficacy --- Physiological effect --- Development --- Anticancer Agents --- Antineoplastic Drugs --- Antineoplastics --- Antitumor Agents --- Antitumor Drugs --- Cancer Chemotherapy Agents --- Cancer Chemotherapy Drugs --- Chemotherapeutic Anticancer Agents --- Chemotherapeutic Anticancer Drug --- Anticancer Agent --- Antineoplastic --- Antineoplastic Agent --- Antineoplastic Drug --- Antitumor Agent --- Antitumor Drug --- Cancer Chemotherapy Agent --- Cancer Chemotherapy Drug --- Agent, Anticancer --- Agent, Antineoplastic --- Agent, Antitumor --- Agent, Cancer Chemotherapy --- Agents, Anticancer --- Agents, Antineoplastic --- Agents, Antitumor --- Agents, Cancer Chemotherapy --- Agents, Chemotherapeutic Anticancer --- Chemotherapy Agent, Cancer --- Chemotherapy Agents, Cancer --- Chemotherapy Drug, Cancer --- Chemotherapy Drugs, Cancer --- Drug, Antineoplastic --- Drug, Antitumor --- Drug, Cancer Chemotherapy --- Drug, Chemotherapeutic Anticancer --- Drugs, Antineoplastic --- Drugs, Antitumor --- Drugs, Cancer Chemotherapy --- Cytotoxins --- Interferon Inducers --- Anticarcinogenic Agents --- Drug Prospecting --- Discovery, Drug --- Prospecting, Drug --- High-Throughput Screening Assays --- Bioprospecting --- Medication Development --- Pharmaceutical Development --- Computational Prediction of Drug-Target Interactions --- Drug Target Prediction --- Development, Drug --- Development, Medication --- Development, Pharmaceutical --- Drug Target Predictions --- Prediction, Drug Target --- Target Prediction, Drug --- Cancer --- Antineoplastic agents --- Chemotherapy. --- Treatment --- Drug development --- Computational chemistry. --- Computational biology. --- Computational Biology --- Computational Chemistry --- Drug Discovery --- Neoplasms --- Antineoplastic Agents --- Computer simulation. --- Mathematical models. --- drug therapy --- Computational Biology. --- Computational Chemistry. --- drug therapy.