ProtChemSI: a network of protein–chemical structural interactions

Progress in structure determination methods means that the set of experimentally determined 3D structures of proteins in complex with small molecules is growing exponentially. ProtChemSI exploits and extends this useful set of structures by both collecting and annotating the existing data as well as...

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Detalles Bibliográficos
Autores principales: Kalinina, Olga V., Wichmann, Oliver, Apic, Gordana, Russell, Robert B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3245083/
https://www.ncbi.nlm.nih.gov/pubmed/22110041
http://dx.doi.org/10.1093/nar/gkr1049
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author Kalinina, Olga V.
Wichmann, Oliver
Apic, Gordana
Russell, Robert B.
author_facet Kalinina, Olga V.
Wichmann, Oliver
Apic, Gordana
Russell, Robert B.
author_sort Kalinina, Olga V.
collection PubMed
description Progress in structure determination methods means that the set of experimentally determined 3D structures of proteins in complex with small molecules is growing exponentially. ProtChemSI exploits and extends this useful set of structures by both collecting and annotating the existing data as well as providing models of potential complexes inferred by protein or chemical structure similarity. The database currently includes 7704 proteins from 1803 organisms, 11 324 chemical compounds and 202 289 complexes including 178 974 predicted. It is publicly available at http://pcidb.russelllab.org.
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spelling pubmed-32450832012-01-10 ProtChemSI: a network of protein–chemical structural interactions Kalinina, Olga V. Wichmann, Oliver Apic, Gordana Russell, Robert B. Nucleic Acids Res Articles Progress in structure determination methods means that the set of experimentally determined 3D structures of proteins in complex with small molecules is growing exponentially. ProtChemSI exploits and extends this useful set of structures by both collecting and annotating the existing data as well as providing models of potential complexes inferred by protein or chemical structure similarity. The database currently includes 7704 proteins from 1803 organisms, 11 324 chemical compounds and 202 289 complexes including 178 974 predicted. It is publicly available at http://pcidb.russelllab.org. Oxford University Press 2012-01 2011-11-21 /pmc/articles/PMC3245083/ /pubmed/22110041 http://dx.doi.org/10.1093/nar/gkr1049 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Kalinina, Olga V.
Wichmann, Oliver
Apic, Gordana
Russell, Robert B.
ProtChemSI: a network of protein–chemical structural interactions
title ProtChemSI: a network of protein–chemical structural interactions
title_full ProtChemSI: a network of protein–chemical structural interactions
title_fullStr ProtChemSI: a network of protein–chemical structural interactions
title_full_unstemmed ProtChemSI: a network of protein–chemical structural interactions
title_short ProtChemSI: a network of protein–chemical structural interactions
title_sort protchemsi: a network of protein–chemical structural interactions
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3245083/
https://www.ncbi.nlm.nih.gov/pubmed/22110041
http://dx.doi.org/10.1093/nar/gkr1049
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