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Accidental interaction between PDZ domains and diclofenac revealed by NMR-assisted virtual screening.


ABSTRACT: 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.

SUBMITTER: Tenno T 

PROVIDER: S-EPMC6270271 | biostudies-literature | 2013 Aug

REPOSITORIES: biostudies-literature

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Accidental interaction between PDZ domains and diclofenac revealed by NMR-assisted virtual screening.

Tenno Takeshi T   Goda Natsuko N   Umetsu Yoshitaka Y   Ota Motonori M   Kinoshita Kengo K   Hiroaki Hidekazu H  

Molecules (Basel, Switzerland) 20130809 8


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-p  ...[more]

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