Computational Drug Delivery


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Computational Drug Delivery


Computational Drug Delivery

Author: Pooja A. Chawla

language: en

Publisher: Walter de Gruyter GmbH & Co KG

Release Date: 2024-10-07


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The book bridges the gap between pharmaceutics and molecular modelling at the micro, meso and macro scale. It covers Lipinski's rule of five, nanoparticulate drug delivery, computational prediction of drug solubility and ability to cross blood brain barrier, computer-based simulation of pharmacokinetic parameters, virtual screening of mucoadhesive polymers, QSPR modelling, designing of 2D nanomaterials and role of principal component analysis.

Drug Design Strategies


Drug Design Strategies

Author: Lee Banting

language: en

Publisher: Royal Society of Chemistry

Release Date: 2012


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This book, aimed at academics, industrialists and post-graduates, documents the latest research into computer aided drug design.

Computer-Aided Drug Design


Computer-Aided Drug Design

Author: Dev Bukhsh Singh

language: en

Publisher: Springer Nature

Release Date: 2020-10-09


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This book provides up-to-date information on bioinformatics tools for the discovery and development of new drug molecules. It discusses a range of computational applications, including three-dimensional modeling of protein structures, protein-ligand docking, and molecular dynamics simulation of protein-ligand complexes for identifying desirable drug candidates. It also explores computational approaches for identifying potential drug targets and for pharmacophore modeling. Moreover, it presents structure- and ligand-based drug design tools to optimize known drugs and guide the design of new molecules. The book also describes methods for identifying small-molecule binding pockets in proteins, and summarizes the databases used to explore the essential properties of drugs, drug-like small molecules and their targets. In addition, the book highlights various tools to predict the absorption, distribution, metabolism, excretion (ADME) and toxicity (T) of potential drug candidates. Lastly, it reviews in silico tools that can facilitate vaccine design and discusses their limitations.