Isbn: 9781041128380 - computer simulations in the pharmaceutical industry: volume 1 (drugs and the pharmaceutical sciences, 1) (4 Ergebnisse)

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Zustand: New.

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Zustand: New. Dr. Gangarapu Kiran is an academician in Pharmaceutical Sciences with 18 years of teaching and research experience. He is a Professor at the School of Pharmacy, Anurag University, Telangana, since 2016. He completed his Ph.D from JNTUH (2015) and .

Computer Simulations in the Pharmaceutical Industry
Gangarapu, Kiran (Editor)/ Veerareddy, Prabhakar Reddy (Editor)
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Hardcover. Zustand: Brand New. 256 pages. 10.00x7.00x10.24 inches. In Stock.

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Buch. Zustand: Neu. Neuware - The application of computational modeling and simulation has extended beyond PK/PD prediction of clinical trial outcomes by defining regulatory strategy as well as optimization of therapeutic candidates. Further, regulatory agencies are accepting modeling and simulation for approval in special populations, drug-drug interactions, and dosing regimen changes. This volume provides a comprehensive coverage of drug design, chemoinformatics, molecular modeling, and computer-aided formulation development. Computer simulations play a crucial role in the pharmaceutical industry, accelerating drug discovery and development by predicting drug behavior and optimizing systems, thus reducing the need for animal testing.Key Features - Illustrates how computer simulations play a crucial role in the pharmaceutical industry, accelerating drug discovery and development. - PK/PD simulations play a crucial role in optimizing dosing regimens and understanding the time course of drug effects. - Depicts the role of computers in drug research development, both in clinical and preclinical stage by citing examples of approved FDA drugs. - Provides case studies detailing the step-by-step process for using software such as Python for programming in the pharmaceutical industry; Gromacs, DataWarrior, AutoDock and Biovia. - Discusses how artificial intelligence and machine learning can be used to optimize and refine simulation models.…