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

S.K. Burley(Rutgers, The State University of New Jersey), Charmi Bhikadiya(Rutgers, The State University of New Jersey), Chunxiao Bi(San Diego Supercomputer Center), Sebastian Bittrich(San Diego Supercomputer Center), Li Chen(Rutgers, The State University of New Jersey), G.V. Crichlow(Rutgers, The State University of New Jersey), Cole Christie(San Diego Supercomputer Center), Kenneth Dalenberg(Rutgers, The State University of New Jersey), Luigi Di Costanzo(Rutgers, The State University of New Jersey), José M. Duarte(San Diego Supercomputer Center), Shuchismita Dutta(Rutgers, The State University of New Jersey), Zukang Feng(Rutgers, The State University of New Jersey), Sai J. Ganesan(University of California, San Francisco), David S. Goodsell(Rutgers, The State University of New Jersey), Sutapa Ghosh(Rutgers, The State University of New Jersey), Rachel Kramer Green(Rutgers, The State University of New Jersey), Vladimir Guranović(Rutgers, The State University of New Jersey), Dmytro Guzenko(San Diego Supercomputer Center), Brian P. Hudson(Rutgers, The State University of New Jersey), Catherine L. Lawson(Rutgers, The State University of New Jersey), Yu‐He Liang(Rutgers, The State University of New Jersey), Robert Lowe(Rutgers, The State University of New Jersey), Harry Namkoong(Rutgers, The State University of New Jersey), Ezra Peisach(Rutgers, The State University of New Jersey), Irina Persikova(Rutgers, The State University of New Jersey), Chris Randle(San Diego Supercomputer Center), Alexander Rose(San Diego Supercomputer Center), Yana Rose(San Diego Supercomputer Center), Andrej Šali(University of California, San Francisco), Joan Segura(San Diego Supercomputer Center), Monica Sekharan(Rutgers, The State University of New Jersey), Chenghua Shao(Rutgers, The State University of New Jersey), Yi‐Ping Tao(Rutgers, The State University of New Jersey), Maria Voigt(Rutgers, The State University of New Jersey), John Westbrook(Rutgers, The State University of New Jersey), Jasmine Young(Rutgers, The State University of New Jersey), Christine Zardecki(Rutgers, The State University of New Jersey), Marina A. Zhuravleva(Rutgers, The State University of New Jersey)
Nucleic Acids Research
November 17, 2020
10.1093/nar/gkaa1038
Cited by 1,561Open Access
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Abstract

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 electron microscopy and micro-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.

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