RCSB Protein Data Bank 1D tools and services-Reference-Cited by-同舟云学术

RCSB Protein Data Bank 1D tools and services

Published:2020-12-01 Issue:22-23 Volume:36 Page:5526-5527
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Segura Joan¹^ORCID,Rose Yana¹,Westbrook John¹²³,Burley Stephen K¹²³⁴⁵,Duarte Jose M¹

Affiliation:

1. Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California, La Jolla, CA 92093, USA

2. Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA

3. Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA

4. Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA

5. Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA

Abstract

Abstract Motivation Interoperability between polymer sequences and structural data is essential for providing a complete picture of protein and gene features and helping to understand biomolecular function. Results Herein, we present two resources designed to improve interoperability between the RCSB Protein Data Bank, the NCBI and the UniProtKB data resources and visualize integrated data therefrom. The underlying tools provide a flexible means of mapping between the different coordinate spaces and an interactive tool allows convenient visualization of the 1-dimensional data over the web. Availabilityand implementation https://1d-coordinates.rcsb.org and https://rcsb.github.io/rcsb-saguaro. Supplementary information Supplementary data are available at Bioinformatics online.

Funder

National Science Foundation

US Department of Energy

National Cancer Institute

National Institute of Allergy and Infectious Diseases

National Institute of General Medical Sciences

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btaa1012/35186012/btaa1012.pdf

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