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Improving the representation of peptide-like inhibitor and antibiotic molecules in the Protein Data Bank

With the accumulation of a large number and variety of molecules in the Protein Data Bank (PDB) comes the need on occasion to review and improve their representation. The Worldwide PDB (wwPDB) partners have periodically updated various aspects of structural data representation to improve the integri...

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Autores principales: Dutta, Shuchismita, Dimitropoulos, Dimitris, Feng, Zukang, Persikova, Irina, Sen, Sanchayita, Shao, Chenghua, Westbrook, John, Young, Jasmine, Zhuravleva, Marina A, Kleywegt, Gerard J, Berman, Helen M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wiley Periodicals, Inc 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3992913/
https://www.ncbi.nlm.nih.gov/pubmed/24173824
http://dx.doi.org/10.1002/bip.22434
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author Dutta, Shuchismita
Dimitropoulos, Dimitris
Feng, Zukang
Persikova, Irina
Sen, Sanchayita
Shao, Chenghua
Westbrook, John
Young, Jasmine
Zhuravleva, Marina A
Kleywegt, Gerard J
Berman, Helen M
author_facet Dutta, Shuchismita
Dimitropoulos, Dimitris
Feng, Zukang
Persikova, Irina
Sen, Sanchayita
Shao, Chenghua
Westbrook, John
Young, Jasmine
Zhuravleva, Marina A
Kleywegt, Gerard J
Berman, Helen M
author_sort Dutta, Shuchismita
collection PubMed
description With the accumulation of a large number and variety of molecules in the Protein Data Bank (PDB) comes the need on occasion to review and improve their representation. The Worldwide PDB (wwPDB) partners have periodically updated various aspects of structural data representation to improve the integrity and consistency of the archive. The remediation effort described here was focused on improving the representation of peptide-like inhibitor and antibiotic molecules so that they can be easily identified and analyzed. Peptide-like inhibitors or antibiotics were identified in over 1000 PDB entries, systematically reviewed and represented either as peptides with polymer sequence or as single components. For the majority of the single-component molecules, their peptide-like composition was captured in a new representation, called the subcomponent sequence. A novel concept called “group” was developed for representing complex peptide-like antibiotics and inhibitors that are composed of multiple polymer and nonpolymer components. In addition, a reference dictionary was developed with detailed information about these peptide-like molecules to aid in their annotation, identification and analysis. Based on the experience gained in this remediation, guidelines, procedures, and tools were developed to annotate new depositions containing peptide-like inhibitors and antibiotics accurately and consistently. © 2013 Wiley Periodicals, Inc. Biopolymers 101: 659–668, 2014.
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spelling pubmed-39929132014-04-22 Improving the representation of peptide-like inhibitor and antibiotic molecules in the Protein Data Bank Dutta, Shuchismita Dimitropoulos, Dimitris Feng, Zukang Persikova, Irina Sen, Sanchayita Shao, Chenghua Westbrook, John Young, Jasmine Zhuravleva, Marina A Kleywegt, Gerard J Berman, Helen M Biopolymers Research Articles With the accumulation of a large number and variety of molecules in the Protein Data Bank (PDB) comes the need on occasion to review and improve their representation. The Worldwide PDB (wwPDB) partners have periodically updated various aspects of structural data representation to improve the integrity and consistency of the archive. The remediation effort described here was focused on improving the representation of peptide-like inhibitor and antibiotic molecules so that they can be easily identified and analyzed. Peptide-like inhibitors or antibiotics were identified in over 1000 PDB entries, systematically reviewed and represented either as peptides with polymer sequence or as single components. For the majority of the single-component molecules, their peptide-like composition was captured in a new representation, called the subcomponent sequence. A novel concept called “group” was developed for representing complex peptide-like antibiotics and inhibitors that are composed of multiple polymer and nonpolymer components. In addition, a reference dictionary was developed with detailed information about these peptide-like molecules to aid in their annotation, identification and analysis. Based on the experience gained in this remediation, guidelines, procedures, and tools were developed to annotate new depositions containing peptide-like inhibitors and antibiotics accurately and consistently. © 2013 Wiley Periodicals, Inc. Biopolymers 101: 659–668, 2014. Wiley Periodicals, Inc 2014-06 2014-03-25 /pmc/articles/PMC3992913/ /pubmed/24173824 http://dx.doi.org/10.1002/bip.22434 Text en © 2013 The Authors Biopolymers Published by Wiley Periodicals, Inc. http://creativecommons.org/licenses/by/3.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Dutta, Shuchismita
Dimitropoulos, Dimitris
Feng, Zukang
Persikova, Irina
Sen, Sanchayita
Shao, Chenghua
Westbrook, John
Young, Jasmine
Zhuravleva, Marina A
Kleywegt, Gerard J
Berman, Helen M
Improving the representation of peptide-like inhibitor and antibiotic molecules in the Protein Data Bank
title Improving the representation of peptide-like inhibitor and antibiotic molecules in the Protein Data Bank
title_full Improving the representation of peptide-like inhibitor and antibiotic molecules in the Protein Data Bank
title_fullStr Improving the representation of peptide-like inhibitor and antibiotic molecules in the Protein Data Bank
title_full_unstemmed Improving the representation of peptide-like inhibitor and antibiotic molecules in the Protein Data Bank
title_short Improving the representation of peptide-like inhibitor and antibiotic molecules in the Protein Data Bank
title_sort improving the representation of peptide-like inhibitor and antibiotic molecules in the protein data bank
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3992913/
https://www.ncbi.nlm.nih.gov/pubmed/24173824
http://dx.doi.org/10.1002/bip.22434
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