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Peptide Therapeutics
This book explains how peptide-based drug design works, what steps are needed to develop a peptide-based therapeutic, and challenges in synthesis as well as regulatory issues. It covers the design concept of peptide therapeutics from fundamental principles using structural biology and computational approaches. The chapters are arranged in a linear fashion. A fresh graduate or a scientist who works on small molecules can use this to follow the design and development of peptide therapeutics to use as understanding the basic concepts. Each chapter is written by experts from academia as well as industry. Rather than covering extensive literature, the book provides concepts of design, synthesis, ...
Protein-Protein Interactions in Human Disease, Part B
Protein-Protein Interactions in Human Disease, Volume 111, Part B, promotes further research and development in the protein interaction network in order to identify critical proteins involved in the etiology of human diseases and locate new protein targets for drug development. Thus, this volume is of considerable interest to protein chemists, pharmacologists, cell biologists, immunologists, structural biologists, computational biochemists and other researchers working in the field. In addition, these articles would be of great benefit to medical, biology and pharmacology students who specialize in this field. - Describes advances in the application of powerful techniques in studying and analyzing protein-protein interactions - Ideal for a wide audience of researchers, specialists and students - Written by authorities in their field - Contains a number of high quality illustrations, figures and tables that support the presented information
Drug Design and Discovery
Research in the pharmaceutical sciences and medicinal chemistry has taken an important new direction in the past two decades with a focus on large molecules, especially peptides and proteins, as well as DNA therapeutics. In Drug Design and Discovery: Methods and Protocols, leading experts provide an in-depth view of key protocols that are commonly used in drug discovery laboratories. Covering both classic and cutting-edge techniques, this volume explores computational docking, quantitative structure-activity relationship (QSAR), peptide synthesis, labeling of peptides and proteins with fluorescent labels, DNA-microarray, zebrafish model for drug screening, and other analytical screening and ...
Index Medicus
Vols. for 1963- include as pt. 2 of the Jan. issue: Medical subject headings.
Directory of Graduate Research
Faculties, publications and doctoral theses in departments or divisions of chemistry, chemical engineering, biochemistry and pharmaceutical and/or medicinal chemistry at universities in the United States and Canada.
Drug Delivery to the Brain
The development of new CNS drugs is notoriously difficult. Drugs must reach CNS target sites for action and these sites are protected by a number of barriers, the most important being the blood –brain barrier (BBB). Many factors are therefore critical to consider for CNS drug delivery, e.g. active/passive transport across the BBB, intra-brain distribution, and central/systemic pharmacokinetics, to name a few. Neurological disease and trauma conditions add further complexity because CNS barriers, drug distribution and pharmacokinetics are dynamic and often changed by disease/trauma. Knowledge of all these factors and their interplay in different conditions is of utmost importance for proper...
Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology
Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology discusses the latest developments in all aspects of computational biology, bioinformatics, and systems biology and the application of data-analytics and algorithms, mathematical modeling, and simu- lation techniques. • Discusses the development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques to the study of biological and behavioral systems, including applications in cancer research, computational intelligence and drug design, high-performance computing, and biology, as well as cloud and grid computing for the storage and access of big dat...
