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

Paper Info

Title
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

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.

Authors (38 rows)

Cited by (2 rows)

References (0 rows)

Name	Order	Citations	PageRank
Stephen K. Burley	1	230	17.85
Charmi Bhikadiya	2	2	0.41
Chunxiao Bi	3	347	22.33
Sebastian Bittrich	4	6	3.23
Li Chen	5	2	0.41
Gregg V Crichlow	6	2	0.41
Cole H. Christie	7	186	11.57
Kenneth Dalenberg	8	2	0.41
Luigi Di Costanzo	9	2	0.41
Jose M. Duarte	10	93	7.38
Shuchismita Dutta	11	219	13.97
Zukang Feng	12	2975	623.29
Sai Ganesan	13	2	0.41
David S. Goodsell	14	1385	130.87
Sutapa Ghosh	15	2	0.41
Rachel Kramer Green	16	293	37.69
Vladimir Guranović	17	2	0.41
Dmytro Guzenko	18	9	1.51
Brian P Hudson	19	2	0.41
Catherine L. Lawson	20	65	5.66
Yuhe Liang	21	2	0.41
Robert Lowe	22	2	0.41
Harry Namkoong	23	2	0.41
Ezra Peisach	24	2	0.41
Irina Persikova	25	2	0.41
Chris Randle	26	2	0.41
Alexander Rose	27	2	0.41
Yana Rose	28	3	1.48
Andrej Sali	29	2	0.41
Joan Segura	30	2	0.41
Monica Sekharan	31	2	0.41
Chenghua Shao	32	2	0.41
Yi-Ping Tao	33	2	0.41
Maria Voigt	34	2	0.41
John D Westbrook	35	2	0.41
Jasmine Y Young	36	2	0.41
Christine Zardecki	37	2	0.41
Marina Zhuravleva	38	2	0.41