0
Your cart

Your cart is empty

Books

Buy Now

Open Access Databases and Datasets for Drug Discovery (Hardcover) Loot Price: R3,828
Discovery Miles 38 280
Open Access Databases and Datasets for Drug Discovery (Hardcover): Antoine Daina, Michael T Przewosny, Vincent Zoete

Open Access Databases and Datasets for Drug Discovery (Hardcover)

Antoine Daina, Michael T Przewosny, Vincent Zoete; Series edited by Raimund Mannhold, Helmut Buschmann, Jörg Holenz

Series: Methods & Principles in Medicinal Chemistry

 (sign in to rate)
Loot Price R3,828 Discovery Miles 38 280 | Repayment Terms: R359 pm x 12*

Bookmark and Share

Expected to ship within 12 - 17 working days

Donate to Against Period Poverty

Comprehensive resource discussing the future of data-driven drug discovery and the growing number of open-source databases With an overview of 90 freely accessible databases and datasets on all aspects of drug design, development, and discovery, Open Access Databases and Datasets for Drug Discovery is a comprehensive guide to the vast amount of "free data" available to today's pharmaceutical researchers. Throughout the text, the applicability of open-source data for drug discovery and development is analyzed, and their usefulness in comparison with commercially available tools is evaluated. The most relevant databases for small molecules, drugs and druglike substances, ligand design, protein 3D structures (both experimental and calculated), and human drug targets are described in depth, including practical examples of how to access and work with the data. The first part is focused on databases for small molecules, followed by databases for macromolecular targets and diseases. The final part shows how to integrate various open-source tools into the academic and industrial drug discovery and development process. Contributed to and edited by experts with long-time experience in the field, Open Access Databases and Datasets for Drug Discovery includes information on: A comprehensive listing of open access databases and datasets for computer-aided drug design PubChem as a chemical database for drug discovery, DrugBank Online, and bioisosteric replacement for drug discovery supported by the SwissBioisostere database The Protein Data Bank (PDB) and macromolecular structure data supporting computer-aided drug design, and the SWISS-MODEL repository of 3D protein structures and models PDB-REDO in computational aided drug design (CADD), and mining for bioactive molecules in databases Unmatched in scope and comprehensively reviewing small and large open data sources relevant for rational drug design, Open Access Databases and Datasets for Drug Discovery is an essential reference for medicinal and pharmaceutical chemists, and any scientists involved in the drug discovery and drug development.

General

Imprint: Blackwell Verlag GmbH
Country of origin: Germany
Series: Methods & Principles in Medicinal Chemistry
Release date: December 2023
Editors: Antoine Daina • Michael T Przewosny • Vincent Zoete
Series editors: Raimund Mannhold • Helmut Buschmann • Jörg Holenz
Dimensions: 244 x 170mm (L x W)
Format: Hardcover
Pages: 320
ISBN-13: 978-3-527-34839-8
Categories: Books
LSN: 3-527-34839-5
Barcode: 9783527348398

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Partners