2019
DOI: 10.1002/pro.3730
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RCSB Protein Data Bank: Enabling biomedical research and drug discovery

Abstract: This is the author manuscript accepted for publication and has undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as

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Cited by 247 publications
(205 citation statements)
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“…Structures of both the proteins were identified by PDB-BLAST and retrieved from RCSB protein data bank. 11 Data for genetic variants and allele frequencies were obtained from Ensembl Genome Browser 12 and gnomAD. 13 Appropriate filters were employed to limit the data to only the coding region variants of ACE2 gene.…”
Section: Data Mining For Structure and Genetic Polymorphismmentioning
confidence: 99%
“…Structures of both the proteins were identified by PDB-BLAST and retrieved from RCSB protein data bank. 11 Data for genetic variants and allele frequencies were obtained from Ensembl Genome Browser 12 and gnomAD. 13 Appropriate filters were employed to limit the data to only the coding region variants of ACE2 gene.…”
Section: Data Mining For Structure and Genetic Polymorphismmentioning
confidence: 99%
“…The structural data for biological assemblies of SARS-Cov-2 was downloaded from Coronavirus3D server developed recently by our group [13]. The Coronavirus3D server provides links to experimental structures of SARS-CoV-2 proteins stored in PDB [14] and models of protein regions of SARS-Cov-2 for which direct structural characterization is still lacking. Models were calculated with Modeller [35] based on FFAS [36] alignments.…”
Section: Structural Coverage Of the Sars-cov-2 Proteome And Derived Smentioning
confidence: 99%
“…In parallel to the genomic characterization of the SARS-CoV-2 virus, its proteins are being characterized structurally at an equally rapid pace [12], mostly as a part of the drug discovery effort, and, as of the end of June 2020, there is direct or indirect high-quality structural information for over 60% of the SARS-CoV-2 proteome. Our group has recently developed the coronavirus3D server [13], available at https://coronavirus3D.org, to integrate information about the three-dimensional structures of SARS-CoV-2 virus proteins from the Protein Data Bank (PDB) [14] resource (http://rcsb.org) with the information on SARS-CoV-2 genomic variations retrieved from the China National Center for Bioinformation (CNCB) website (https://bigd.big.ac.cn/ncov/variation). This integration allows us to track in real-time the emergence of new trends or patterns in the evolving SARS-CoV-2 genomes in the context of the structures of its proteins.…”
Section: Introductionmentioning
confidence: 99%
“…Based on screening, top hit molecule was taken for molecular docking and MD Simulations. Through this, the binding affinity or change in binding free energy of newly formed drug-target complex was determined by simulations method and deviations measured on increasing temperature (Aaboud et al, 2018;Adasme-Carreno et al, 2014;Athir et al, 2019;Goodsell et al, 2020). Herein, MM-GBSA method was to calculate the change in enthalpy and the change in free energy for the formation of complex, number of hydrogen bonds (HBs) are determined to study the binding of the hit molecule with the protease of SARS-CoV-2 for COVID-19.…”
Section: Introductionmentioning
confidence: 99%