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The iPPI-DB initiative: a community-centered database of protein–protein interaction modulators
MOTIVATION: One avenue to address the paucity of clinically testable targets is to reinvestigate the druggable genome by tackling complicated types of targets such as Protein-Protein Interactions (PPIs). Given the challenge to target those interfaces with small chemical compounds, it has become clea...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8034526/ https://www.ncbi.nlm.nih.gov/pubmed/33416858 http://dx.doi.org/10.1093/bioinformatics/btaa1091 |
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author | Torchet, Rachel Druart, Karen Ruano, Luis Checa Moine-Franel, Alexandra Borges, Hélène Doppelt-Azeroual, Olivia Brancotte, Bryan Mareuil, Fabien Nilges, Michael Ménager, Hervé Sperandio, Olivier |
author_facet | Torchet, Rachel Druart, Karen Ruano, Luis Checa Moine-Franel, Alexandra Borges, Hélène Doppelt-Azeroual, Olivia Brancotte, Bryan Mareuil, Fabien Nilges, Michael Ménager, Hervé Sperandio, Olivier |
author_sort | Torchet, Rachel |
collection | PubMed |
description | MOTIVATION: One avenue to address the paucity of clinically testable targets is to reinvestigate the druggable genome by tackling complicated types of targets such as Protein-Protein Interactions (PPIs). Given the challenge to target those interfaces with small chemical compounds, it has become clear that learning from successful examples of PPI modulation is a powerful strategy. Freely accessible databases of PPI modulators that provide the community with tractable chemical and pharmacological data, as well as powerful tools to query them, are therefore essential to stimulate new drug discovery projects on PPI targets. RESULTS: Here, we present the new version iPPI-DB, our manually curated database of PPI modulators. In this completely redesigned version of the database, we introduce a new web interface relying on crowdsourcing for the maintenance of the database. This interface was created to enable community contributions, whereby external experts can suggest new database entries. Moreover, the data model, the graphical interface, and the tools to query the database have been completely modernized and improved. We added new PPI modulators, new PPI targets and extended our focus to stabilizers of PPIs as well. AVAILABILITY AND IMPLEMENTATION: The iPPI-DB server is available at https://ippidb.pasteur.fr The source code for this server is available at https://gitlab.pasteur.fr/ippidb/ippidb-web/ and is distributed under GPL licence (http://www.gnu.org/licences/gpl). Queries can be shared through persistent links according to the FAIR data standards. Data can be downloaded from the website as csv files. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-8034526 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-80345262021-04-14 The iPPI-DB initiative: a community-centered database of protein–protein interaction modulators Torchet, Rachel Druart, Karen Ruano, Luis Checa Moine-Franel, Alexandra Borges, Hélène Doppelt-Azeroual, Olivia Brancotte, Bryan Mareuil, Fabien Nilges, Michael Ménager, Hervé Sperandio, Olivier Bioinformatics Original Papers MOTIVATION: One avenue to address the paucity of clinically testable targets is to reinvestigate the druggable genome by tackling complicated types of targets such as Protein-Protein Interactions (PPIs). Given the challenge to target those interfaces with small chemical compounds, it has become clear that learning from successful examples of PPI modulation is a powerful strategy. Freely accessible databases of PPI modulators that provide the community with tractable chemical and pharmacological data, as well as powerful tools to query them, are therefore essential to stimulate new drug discovery projects on PPI targets. RESULTS: Here, we present the new version iPPI-DB, our manually curated database of PPI modulators. In this completely redesigned version of the database, we introduce a new web interface relying on crowdsourcing for the maintenance of the database. This interface was created to enable community contributions, whereby external experts can suggest new database entries. Moreover, the data model, the graphical interface, and the tools to query the database have been completely modernized and improved. We added new PPI modulators, new PPI targets and extended our focus to stabilizers of PPIs as well. AVAILABILITY AND IMPLEMENTATION: The iPPI-DB server is available at https://ippidb.pasteur.fr The source code for this server is available at https://gitlab.pasteur.fr/ippidb/ippidb-web/ and is distributed under GPL licence (http://www.gnu.org/licences/gpl). Queries can be shared through persistent links according to the FAIR data standards. Data can be downloaded from the website as csv files. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2021-01-08 /pmc/articles/PMC8034526/ /pubmed/33416858 http://dx.doi.org/10.1093/bioinformatics/btaa1091 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://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 | Original Papers Torchet, Rachel Druart, Karen Ruano, Luis Checa Moine-Franel, Alexandra Borges, Hélène Doppelt-Azeroual, Olivia Brancotte, Bryan Mareuil, Fabien Nilges, Michael Ménager, Hervé Sperandio, Olivier The iPPI-DB initiative: a community-centered database of protein–protein interaction modulators |
title | The iPPI-DB initiative: a community-centered database of protein–protein interaction modulators |
title_full | The iPPI-DB initiative: a community-centered database of protein–protein interaction modulators |
title_fullStr | The iPPI-DB initiative: a community-centered database of protein–protein interaction modulators |
title_full_unstemmed | The iPPI-DB initiative: a community-centered database of protein–protein interaction modulators |
title_short | The iPPI-DB initiative: a community-centered database of protein–protein interaction modulators |
title_sort | ippi-db initiative: a community-centered database of protein–protein interaction modulators |
topic | Original Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8034526/ https://www.ncbi.nlm.nih.gov/pubmed/33416858 http://dx.doi.org/10.1093/bioinformatics/btaa1091 |
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