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.
Betal enkelt med kort, Klarna, Apple Pay eller Google Pay. Ikke fornøyd? Du har alltid 14 dagers angrerett. Les mer i våre vilkår. Har du spørsmål, send oss en e-post på hello@memmo.org.
Memmo gjør det enklere å studere – uansett hvor du er i verden. Hos oss samler du pensumbøker og smarte studieverktøy på ett og samme sted: sammendrag, quizer, podkaster og flashcards. Og så Ted, din studiekompis som svarer på alt du lurer på. Over 50 000 studenter studerer allerede her – bygget for at du skal lære raskere og stresse mindre.