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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.
Afiliación
  • Torchet R; Hub de Bioinformatique et Biostatistique Département Biologie Computationnelle, Institut Pasteur, USR 3756 CNRS, Paris 75015, France.
  • Druart K; Department of Structural Biology and Chemistry, Institut Pasteur, Paris 75015, France.
  • Ruano LC; Department of Structural Biology and Chemistry, Institut Pasteur, Paris 75015, France.
  • Moine-Franel A; Department of Structural Biology and Chemistry, Institut Pasteur, Paris 75015, France.
  • Borges H; Department of Structural Biology and Chemistry, Institut Pasteur, Paris 75015, France.
  • Doppelt-Azeroual O; Hub de Bioinformatique et Biostatistique Département Biologie Computationnelle, Institut Pasteur, USR 3756 CNRS, Paris 75015, France.
  • Brancotte B; Hub de Bioinformatique et Biostatistique Département Biologie Computationnelle, Institut Pasteur, USR 3756 CNRS, Paris 75015, France.
  • Mareuil F; Hub de Bioinformatique et Biostatistique Département Biologie Computationnelle, Institut Pasteur, USR 3756 CNRS, Paris 75015, France.
  • Nilges M; Department of Structural Biology and Chemistry, Institut Pasteur, Paris 75015, France.
  • Ménager H; Hub de Bioinformatique et Biostatistique Département Biologie Computationnelle, Institut Pasteur, USR 3756 CNRS, Paris 75015, France.
  • Sperandio O; Department of Structural Biology and Chemistry, Institut Pasteur, Paris 75015, France.
Bioinformatics ; 37(1): 89-96, 2021 Apr 09.
Article en En | MEDLINE | ID: mdl-33416858
ABSTRACT
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.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Francia