Unlock the Power of Open Access Databases and Datasets for Drug Discovery

Stay ahead in the rapidly evolving field of data-driven drug discovery with this comprehensive guide to open-source databases and datasets. “Open Access Databases and Datasets for Drug Discovery” is a timely resource that delves into the future of drug discovery and the growing importance of freely accessible data.

A Comprehensive Overview of 90+ Open Access Resources

This authoritative guide provides an in-depth review of over 90 freely accessible databases and datasets, covering all aspects of drug design, development, and discovery. From small molecules to protein 3D structures, and from ligand design to human drug targets, this book is an indispensable resource for pharmaceutical researchers seeking to leverage open-source data for drug discovery and development.

Practical Applications and Examples

The book features practical examples of how to access and work with open-source data, including PubChem, DrugBank Online, and the SwissBioisostere database for bioisosteric replacement. It also covers the Protein Data Bank (PDB) and macromolecular structure data, the SWISS-MODEL repository, PDB-REDO in computational aided drug design (CADD), and using Pharos/TCRD for discovering druggable targets.

Expert Insights and Contributions

Edited and contributed by experts with extensive experience in the field, this book offers unparalleled insights into the applicability of open-source data for drug discovery and development. It evaluates the usefulness of open-source tools in comparison to commercially available tools, providing readers with a balanced perspective on the benefits and limitations of open-source data.