Open Access Databases and Datasets for Drug Discovery

Open Access Databases and Datasets for Drug Discovery by Antoine Daina

Open Access Databases and Datasets for Drug Discovery Timely 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. 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: An extensive 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 using Pharos/TCRD for discovering druggable targets Unmatched in scope and thoroughly 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.

Antoine Daina is a Senior Scientist at the Molecular Modelling Group of the SIB Swiss Institute of Bioinformatics in charge of methodological developments in the SwissDrugDesign program.

Michael Przewosny has over 20 years of experience in pharmaceutical research and drug discovery, having worked as laboratory manager for different pharmaceutical companies.

Vincent Zoete is a Group Leader at the Molecular Modelling Group of the SIB Swiss Institute of Bioinformatics and an Associate Professor at the University of Lausanne, Department of Oncology UNIL-CHUV, Ludwig Institute for Cancer Research.

SKU	Nicht verfügbar
ISBN 13	9783527348398
ISBN 10	3527348395
Titel	Open Access Databases and Datasets for Drug Discovery
Autor	Antoine Daina
Serie	Methods And Principles In Medicinal Chemistry
Buchzustand	Nicht verfügbar
Bindungsart	Hardback
Verlag	Wiley-VCH Verlag GmbH
Erscheinungsjahr	2023-11-01
Seitenanzahl	352
Hinweis auf dem Einband	Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden.
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