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iPPI-DB: an online database of modulators of protein–protein interactions

In order to boost the identification of low-molecular-weight drugs on protein–protein interactions (PPI), it is essential to properly collect and annotate experimental data about successful examples. This provides the scientific community with the necessary information to derive trends about privile...

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Autores principales: Labbé, Céline M., Kuenemann, Mélaine A., Zarzycka, Barbara, Vriend, Gert, Nicolaes, Gerry A.F., Lagorce, David, Miteva, Maria A., Villoutreix, Bruno O., Sperandio, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702945/
https://www.ncbi.nlm.nih.gov/pubmed/26432833
http://dx.doi.org/10.1093/nar/gkv982
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author Labbé, Céline M.
Kuenemann, Mélaine A.
Zarzycka, Barbara
Vriend, Gert
Nicolaes, Gerry A.F.
Lagorce, David
Miteva, Maria A.
Villoutreix, Bruno O.
Sperandio, Olivier
author_facet Labbé, Céline M.
Kuenemann, Mélaine A.
Zarzycka, Barbara
Vriend, Gert
Nicolaes, Gerry A.F.
Lagorce, David
Miteva, Maria A.
Villoutreix, Bruno O.
Sperandio, Olivier
author_sort Labbé, Céline M.
collection PubMed
description In order to boost the identification of low-molecular-weight drugs on protein–protein interactions (PPI), it is essential to properly collect and annotate experimental data about successful examples. This provides the scientific community with the necessary information to derive trends about privileged physicochemical properties and chemotypes that maximize the likelihood of promoting a given chemical probe to the most advanced stages of development. To this end we have developed iPPI-DB (freely accessible at http://www.ippidb.cdithem.fr), a database that contains the structure, some physicochemical characteristics, the pharmacological data and the profile of the PPI targets of several hundreds modulators of protein–protein interactions. iPPI-DB is accessible through a web application and can be queried according to two general approaches: using physicochemical/pharmacological criteria; or by chemical similarity to a user-defined structure input. In both cases the results are displayed as a sortable and exportable datasheet with links to external databases such as Uniprot, PubMed. Furthermore each compound in the table has a link to an individual ID card that contains its physicochemical and pharmacological profile derived from iPPI-DB data. This includes information about its binding data, ligand and lipophilic efficiencies, location in the PPI chemical space, and importantly similarity with known drugs, and links to external databases like PubChem, and ChEMBL.
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spelling pubmed-47029452016-01-07 iPPI-DB: an online database of modulators of protein–protein interactions Labbé, Céline M. Kuenemann, Mélaine A. Zarzycka, Barbara Vriend, Gert Nicolaes, Gerry A.F. Lagorce, David Miteva, Maria A. Villoutreix, Bruno O. Sperandio, Olivier Nucleic Acids Res Database Issue In order to boost the identification of low-molecular-weight drugs on protein–protein interactions (PPI), it is essential to properly collect and annotate experimental data about successful examples. This provides the scientific community with the necessary information to derive trends about privileged physicochemical properties and chemotypes that maximize the likelihood of promoting a given chemical probe to the most advanced stages of development. To this end we have developed iPPI-DB (freely accessible at http://www.ippidb.cdithem.fr), a database that contains the structure, some physicochemical characteristics, the pharmacological data and the profile of the PPI targets of several hundreds modulators of protein–protein interactions. iPPI-DB is accessible through a web application and can be queried according to two general approaches: using physicochemical/pharmacological criteria; or by chemical similarity to a user-defined structure input. In both cases the results are displayed as a sortable and exportable datasheet with links to external databases such as Uniprot, PubMed. Furthermore each compound in the table has a link to an individual ID card that contains its physicochemical and pharmacological profile derived from iPPI-DB data. This includes information about its binding data, ligand and lipophilic efficiencies, location in the PPI chemical space, and importantly similarity with known drugs, and links to external databases like PubChem, and ChEMBL. Oxford University Press 2016-01-04 2015-10-01 /pmc/articles/PMC4702945/ /pubmed/26432833 http://dx.doi.org/10.1093/nar/gkv982 Text en © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Labbé, Céline M.
Kuenemann, Mélaine A.
Zarzycka, Barbara
Vriend, Gert
Nicolaes, Gerry A.F.
Lagorce, David
Miteva, Maria A.
Villoutreix, Bruno O.
Sperandio, Olivier
iPPI-DB: an online database of modulators of protein–protein interactions
title iPPI-DB: an online database of modulators of protein–protein interactions
title_full iPPI-DB: an online database of modulators of protein–protein interactions
title_fullStr iPPI-DB: an online database of modulators of protein–protein interactions
title_full_unstemmed iPPI-DB: an online database of modulators of protein–protein interactions
title_short iPPI-DB: an online database of modulators of protein–protein interactions
title_sort ippi-db: an online database of modulators of protein–protein interactions
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702945/
https://www.ncbi.nlm.nih.gov/pubmed/26432833
http://dx.doi.org/10.1093/nar/gkv982
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