Literature DB >> 31531901

RCSB Protein Data Bank: Enabling biomedical research and drug discovery.

David S Goodsell1,2,3, Christine Zardecki1,2, Luigi Di Costanzo1,2, Jose M Duarte4, Brian P Hudson1,2, Irina Persikova1,2, Joan Segura4, Chenghua Shao1,2, Maria Voigt1,2, John D Westbrook1,2, Jasmine Y Young1,2, Stephen K Burley1,2,4,5.   

Abstract

Analyses of publicly available structural data reveal interesting insights into the impact of the three-dimensional (3D) structures of protein targets important for discovery of new drugs (e.g., G-protein-coupled receptors, voltage-gated ion channels, ligand-gated ion channels, transporters, and E3 ubiquitin ligases). The Protein Data Bank (PDB) archive currently holds > 155,000 atomic-level 3D structures of biomolecules experimentally determined using crystallography, nuclear magnetic resonance spectroscopy, and electron microscopy. The PDB was established in 1971 as the first open-access, digital-data resource in biology, and is now managed by the Worldwide PDB partnership (wwPDB; wwPDB.org). US PDB operations are the responsibility of the Research Collaboratory for Structural Bioinformatics PDB (RCSB PDB). The RCSB PDB serves millions of RCSB.org users worldwide by delivering PDB data integrated with ∼40 external biodata resources, providing rich structural views of fundamental biology, biomedicine, and energy sciences. Recently published work showed that the PDB archival holdings facilitated discovery of ∼90% of the 210 new drugs approved by the US Food and Drug Administration 2010-2016. We review user-driven development of RCSB PDB services, examine growth of the PDB archive in terms of size and complexity, and present examples and opportunities for structure-guided drug discovery for challenging targets (e.g., integral membrane proteins).
© 2019 The Protein Society.

Keywords:  GPCR; Protein Data Bank; integral membrane proteins; ion channel; protein structure and function; structural biology; structure-guided drug discovery; transporter; ubiquitin ligase

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Year:  2019        PMID: 31531901      PMCID: PMC6933845          DOI: 10.1002/pro.3730

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


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