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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.
Afiliação
  • Labbé CM; Université Paris Diderot, Sorbonne Paris Cité, Molécules Thérapeutiques, In Silico, INSERM UMR-S 973, Paris, France INSERM, U973, Paris, France.
  • Kuenemann MA; Université Paris Diderot, Sorbonne Paris Cité, Molécules Thérapeutiques, In Silico, INSERM UMR-S 973, Paris, France INSERM, U973, Paris, France.
  • Zarzycka B; Department of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.
  • Vriend G; Centre for Molecular and Biomolecular Informatics (CMBI), Radboudumc, PO Box 9101, 6500 HB Nijmegen, The Netherlands.
  • Nicolaes GA; Department of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.
  • Lagorce D; Université Paris Diderot, Sorbonne Paris Cité, Molécules Thérapeutiques, In Silico, INSERM UMR-S 973, Paris, France INSERM, U973, Paris, France.
  • Miteva MA; Université Paris Diderot, Sorbonne Paris Cité, Molécules Thérapeutiques, In Silico, INSERM UMR-S 973, Paris, France INSERM, U973, Paris, France.
  • Villoutreix BO; Université Paris Diderot, Sorbonne Paris Cité, Molécules Thérapeutiques, In Silico, INSERM UMR-S 973, Paris, France INSERM, U973, Paris, France.
  • Sperandio O; Université Paris Diderot, Sorbonne Paris Cité, Molécules Thérapeutiques, In Silico, INSERM UMR-S 973, Paris, France INSERM, U973, Paris, France olivier.sperandio@inserm.fr.
Nucleic Acids Res ; 44(D1): D542-7, 2016 Jan 04.
Article em En | MEDLINE | ID: mdl-26432833
ABSTRACT
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mapeamento de Interação de Proteínas / Bases de Dados de Proteínas / Descoberta de Drogas Tipo de estudo: Prognostic_studies Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2016 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mapeamento de Interação de Proteínas / Bases de Dados de Proteínas / Descoberta de Drogas Tipo de estudo: Prognostic_studies Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2016 Tipo de documento: Article País de afiliação: França