Share
Frontiers in Computational Chemistry: Volume 1: Computer Applications for Drug Design and Biomolecular Systems (in English)
Zaheer Ul-Haq
(Author)
·
Jeffry D. Madura
(Author)
·
Bentham Science Publishers
· Paperback
Frontiers in Computational Chemistry: Volume 1: Computer Applications for Drug Design and Biomolecular Systems (in English) - Ul-Haq, Zaheer ; Madura, Jeffry D.
$ 141.31
$ 235.52
You save: $ 94.21
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: United Kingdom
(Import costs included in the price)
It will be shipped from our warehouse between
Wednesday, July 10 and
Monday, July 22.
You will receive it anywhere in United States between 1 and 3 business days after shipment.
Synopsis "Frontiers in Computational Chemistry: Volume 1: Computer Applications for Drug Design and Biomolecular Systems (in English)"
Frontiers in Computational Chemistry, originally published by Bentham and now distributed by Elsevier, presents the latest research findings and methods in the diverse field of computational chemistry, focusing on molecular modeling techniques used in drug discovery and the drug development process. This includes computer-aided molecular design, drug discovery and development, lead generation, lead optimization, database management, computer and molecular graphics, and the development of new computational methods or efficient algorithms for the simulation of chemical phenomena including analyses of biological activity. In Volume 1, the leading researchers in the field have collected eight different perspectives in the application of computational methods towards drug design to provide an up-to-date rendering of the current field. This volume covers a variety of topics from G protein-coupled receptors, to the use of cheminformatics and bioinformatics, computational tools such as Molecular Mechanics Poisson-Boltzmann Surface Area, protein-protein interactions, the use of computational methods on large biological data sets, various computational methods used to identify pharmaceutically relevant targets, and more.
