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, Li Chen, Gregg V. Crichlow, Cole H. Christie, Kenneth Dalenberg, Luigi Di Costanzo, Jose M. Duarte, Shuchismita Dutta, Zukang Feng, Sai Ganesan, David S. Goodsell, Sutapa Ghosh, Rachel Kramer Green, Vladimir Guranovic, Dmytro Guzenko, Brian P. Hudson, Catherine L. LawsonYuhe Liang, Robert Lowe, Harry Namkoong, Ezra Peisach, Irina Persikova, Chris Randle, Alexander Rose, Yana Rose, Andrej Sali, Joan Segura, Monica Sekharan, Chenghua Shao, Yi Ping Tao, Maria Voigt, John Westbrook, Jasmine Y. Young, Christine Zardecki, Marina Zhuravleva

Research output: Contribution to journalArticlepeer-review

985 Scopus citations

Abstract

The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB), the US data center for the global PDB archive and a founding member of the Worldwide Protein Data Bank partnership, serves tens of thousands of data depositors in the Americas and Oceania and makes 3D macromolecular structure data available at no charge and without restrictions to millions of RCSB.org users around the world, including >660 000 educators, students and members of the curious public using PDB101.RCSB.org. PDB data depositors include structural biologists using macromolecular crystallography, nuclear magnetic resonance spectroscopy, 3D electronmicroscopy andmicro-electron diffraction. PDB data consumers accessing our web portals include researchers, educators and students studying fundamental biology, biomedicine, biotechnology, bioengineering and energy sciences. During the past 2 years, the research-focused RCSB PDB web portal (RCSB.org) has undergone a complete redesign, enabling improved searching with full Boolean operator logic and more facile access to PDB data integrated with >40 external biodata resources. New features and resources are described in detail using examples that showcase recently released structures of SARS-CoV-2 proteins and host cell proteins relevant to understanding and addressing the COVID-19 global pandemic.

Original languageEnglish (US)
Pages (from-to)D437-D451
JournalNucleic acids research
Volume49
Issue number1
DOIs
StatePublished - 2021

All Science Journal Classification (ASJC) codes

  • Genetics

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