Cargando…

Accidental Interaction between PDZ Domains and Diclofenac Revealed by NMR-Assisted Virtual Screening

In silico approaches have become indispensable for drug discovery as well as drug repositioning and adverse effect prediction. We have developed the eF-seek program to predict protein–ligand interactions based on the surface structure of proteins using a clique search algorithm. We have also develop...

Descripción completa

Detalles Bibliográficos
Autores principales: Tenno, Takeshi, Goda, Natsuko, Umetsu, Yoshitaka, Ota, Motonori, Kinoshita, Kengo, Hiroaki, Hidekazu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6270271/
https://www.ncbi.nlm.nih.gov/pubmed/23966078
http://dx.doi.org/10.3390/molecules18089567
Descripción
Sumario:In silico approaches have become indispensable for drug discovery as well as drug repositioning and adverse effect prediction. We have developed the eF-seek program to predict protein–ligand interactions based on the surface structure of proteins using a clique search algorithm. We have also developed a special protein structure prediction pipeline and accumulated predicted 3D models in the Structural Atlas of the Human Genome (SAHG) database. Using this database, genome-wide prediction of non-peptide ligands for proteins in the human genome was performed, and a subset of predicted interactions including 14 PDZ domains was then confirmed by NMR titration. Surprisingly, diclofenac, a non-steroidal anti-inflammatory drug, was found to be a non-peptide PDZ domain ligand, which bound to 5 of 15 tested PDZ domains. The critical residues for the PDZ–diclofenac interaction were also determined. Pharmacological implications of the accidental PDZ–diclofenac interaction are further discussed.