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Docking-based 3D-QSAR study for selectivity of DPP4, DPP8, and DPP9 inhibitors
- Source :
- Bioorganic & Medicinal Chemistry Letters. 17:3716-3721
- Publication Year :
- 2007
- Publisher :
- Elsevier BV, 2007.
-
Abstract
- In order to obtain information regarding the design of selective DPP4 inhibitors, a 3D-QSAR study was conducted using DPP4, DPP8, and DPP9 inhibitors including newly synthesized six- and seven-membered cyclic hydrazine derivatives (KR64300, KR64301), which were evaluated in vitro for their inhibition of DPP4, DPP8, and DPP9. In this study, a highly predictive CoMFA model based on the fast-docking for DPP4, DPP8, and DPP9 inhibitors was obtained. This reliable model showed leave-one-out cross-validation q(2) and conventional r(2) values of 0.68 and 0.96 for the DPP4 inhibitors, 0.58 and 0.98 for the DPP8 inhibitors, and 0.68 and 0.97 for the DPP9 inhibitors, respectively. The validation of the CoMFA model was confirmed by the compounds in the test set, including the synthesized six- and seven-membered cyclic hydrazines. According to this study, to obtain selective DPP4 inhibitors compared to their isozymes, the interaction of the inhibitors with the S3 site and S1' site in DPP4 must be considered. The proposed newly synthesized compounds, KR64300 and KR64301, interact well with the sites mentioned above, showing excellent selectivity.
- Subjects :
- Dipeptidases
Quantitative structure–activity relationship
Molecular model
Protein Conformation
medicine.drug_class
Stereochemistry
Chemistry, Pharmaceutical
Dipeptidyl Peptidase 4
Clinical Biochemistry
Drug Evaluation, Preclinical
Quantitative Structure-Activity Relationship
Pharmaceutical Science
Carboxamide
Biochemistry
Substrate Specificity
Inhibitory Concentration 50
Drug Discovery
Adenosine Deaminase Inhibitors
medicine
Humans
Enzyme Inhibitors
Binding site
Dipeptidyl-Peptidases and Tripeptidyl-Peptidases
Molecular Biology
Glycoproteins
chemistry.chemical_classification
Dipeptidyl-Peptidase IV Inhibitors
Binding Sites
Molecular Structure
biology
Chemistry
Organic Chemistry
Enzyme
Models, Chemical
Docking (molecular)
Enzyme inhibitor
Drug Design
biology.protein
Molecular Medicine
Selectivity
Subjects
Details
- ISSN :
- 0960894X
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- Bioorganic & Medicinal Chemistry Letters
- Accession number :
- edsair.doi.dedup.....47e06465ff5cce8d87f221b1d850fdf1