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D-Index
67
Citations
138609
World Ranking
1261
National Ranking
408

Overview

John D. Westbrook is a researcher affiliated with Rutgers, The State University of New Jersey in the United States. Their work primarily focuses on the field of Biochemistry, Genetics and Molecular Biology, with a particular emphasis on Molecular Biology as a subfield.

The scientist's research activity is reflected in a series of publications in notable scientific venues. Frequent publication outlets include the Journal of Molecular Biology, Acta Crystallographica Section A Foundations and Advances, Zenodo (CERN European Organization for Nuclear Research), bioRxiv (Cold Spring Harbor Laboratory), and Nucleic Acids Research.

John D. Westbrook's research topics predominantly cover Protein Structure and Dynamics, Enzyme Structure and Function, Genetics, Bioinformatics, and Biomedical Research, Bioinformatics and Genomic Networks, Advanced Proteomics Techniques and Applications, vaccines and immunoinformatics approaches, and Microbial Metabolic Engineering and Bioproduction.

Their recent notable publications include:

  • RCSB Protein Data Bank: powerful new tools for exploring 3D structures of biological macromolecules for basic and applied research and education in fundamental biology, biomedicine, biotechnology, bioengineering and energy sciences (2020, Nucleic Acids Research)
  • RCSB Protein Data Bank (RCSB.org): delivery of experimentally-determined PDB structures alongside one million computed structure models of proteins from artificial intelligence/machine learning (2022, Nucleic Acids Research)
  • The TRUST Principles for digital repositories (2020, Scientific Data)
  • RCSB Protein Data Bank: Architectural Advances Towards Integrated Searching and Efficient Access to Macromolecular Structure Data from the PDB Archive (2020, Journal of Molecular Biology)
  • RCSB Protein Data Bank: Celebrating 50 years of the PDB with new tools for understanding and visualizing biological macromolecules in 3D (2021, Protein Science)

John D. Westbrook has collaborated with several frequent co-authors, including S.K. Burley, Jasmine Young, Christine Zardecki, Brinda Vallat, and Brian P. Hudson. These collaborations span multiple projects and publications within their field.

Best Publications

  • The Protein Data Bank

    Helen M. Berman;John D. Westbrook;Zukang Feng;Gary Gilliland

  • The Protein Data Bank.

    Helen M. Berman;Tammy Battistuz;T. N. Bhat;Wolfgang F. Bluhm

  • The Protein Data Bank, 1999–

    H. M. Berman;J. Westbrook;Z. Feng;G. L. Gilliland

  • RCSB Protein Data Bank: powerful new tools for exploring 3D structures of biological macromolecules for basic and applied research and education in fundamental biology, biomedicine, biotechnology, bioengineering and energy sciences.

    Stephen K. Burley;Charmi Bhikadiya;Chunxiao Bi;Sebastian Bittrich

  • The nucleic acid database. A comprehensive relational database of three-dimensional structures of nucleic acids

    H.M. Berman;W.K. Olson;D.L. Beveridge;J. Westbrook

  • Protein Data Bank: the single global archive for 3D macromolecular structure data

    Stephen K Burley;Helen M Berman;Charmi Bhikadiya

  • RCSB Protein Data Bank: biological macromolecular structures enabling research and education in fundamental biology, biomedicine, biotechnology and energy.

    Stephen K. Burley;Helen M. Berman;Charmi Bhikadiya;Chunxiao Bi

  • The RCSB protein data bank: integrative view of protein, gene and 3D structural information

    Peter W. Rose;Andreas Prlić;Ali Altunkaya;Chunxiao Bi

  • The RCSB Protein Data Bank: redesigned web site and web services

    Peter W. Rose;Bojan Beran;Chunxiao Bi;Wolfgang F. Bluhm

  • The Protein Data Bank and the challenge of structural genomics

    Helen M. Berman;T. N. Bhat;Philip E. Bourne;Zukang Feng

  • The RCSB Protein Data Bank: views of structural biology for basic and applied research and education

    Peter W. Rose;Andreas Prlić;Chunxiao Bi;Wolfgang F. Bluhm

  • The Protein Data Bank and structural genomics.

    John D. Westbrook;Zukang Feng;Li Chen;Huanwang Yang

  • The RCSB Protein Data Bank: new resources for research and education

    Peter W. Rose;Chunxiao Bi;Wolfgang F. Bluhm;Cole H. Christie

  • The RCSB PDB information portal for structural genomics

    Andrei Kouranov;Lei Xie;Joanna de la Cruz;Li Chen

  • Outcome of the First Electron Microscopy Validation Task Force Meeting

    Richard Henderson;Andrej Sali;Matthew L. Baker;Bridget Carragher

  • The RCSB Protein Data Bank: a redesigned query system and relational database based on the mmCIF schema

    Nita Deshpande;Kenneth J. Addess;Wolfgang F. Bluhm;Jeffrey C. Merino-Ott

  • The Protein Data Bank: unifying the archive

    John Westbrook;Zukang Feng;Shri Jain;T. N. Bhat

  • The TRUST Principles for digital repositories

    Dawei Lin;Jonathan Crabtree;Ingrid Dillo;Robert R. Downs

  • Tools for the automatic identification and classification of RNA base pairs

    Huanwang Yang;Fabrice Jossinet;Neocles Leontis;Li Chen

  • Lasing action in a family of perylene derivatives: singlet absorption and emission spectra, triplet absorption and oxygen quenching constants, and molecular mechanics and semiempirical molecular orbital calculations

    Mahin Sadrai;Linda Hadel;Ronald R. Sauers;Syeda Husain

  • RNA backbone: consensus all-angle conformers and modular string nomenclature (an RNA Ontology Consortium contribution).

    Jane S. Richardson;Bohdan Schneider;Laura W. Murray;Gary J. Kapral

Frequent Co-Authors

Helen M. Berman
Helen M. Berman Rutgers, The State University of New Jersey
Stephen K. Burley
Stephen K. Burley Rutgers, The State University of New Jersey
Philip E. Bourne
Philip E. Bourne University of Virginia
Torsten Schwede
Torsten Schwede University of Basel
Karsten Krogh-Jespersen
Karsten Krogh-Jespersen Rutgers, The State University of New Jersey
Paul D. Adams
Paul D. Adams Lawrence Berkeley National Laboratory
John L. Markley
John L. Markley University of Wisconsin–Madison
Sameer Velankar
Sameer Velankar European Bioinformatics Institute
Andrej Sali
Andrej Sali University of California, San Francisco
Gerard J. Kleywegt
Gerard J. Kleywegt European Bioinformatics Institute

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