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3D QSAR studies, molecular docking and ADMET evaluation, using thiazolidine derivatives as template to obtain new inhibitors of PIM1 kinase
- Source :
- Computational Biology and Chemistry. 74:201-211
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- Proviral Integration site for Moloney murine leukemia virus-1 (PIM1) belongs to the serine/threonine kinase family of Ca2+-calmodulin-dependent protein kinase (CAMK) group, which is involved in cell survival and proliferation as well as a number of other signal transduction pathways. Thus, PIM1 is regarded as a promising target for treatment of cancers. In the present paper, a three-dimensional quantitative structure activity relationship (3D-QSAR) and molecular docking were performed to investigate the binding between PIM1 and thiazolidine inhibitors in order to design potent inhibitors. The comparative molecular similarity indices analysis (CoMSIA) was developed using twenty-six molecules having pIC50 ranging from 8.854 to 6.011 (IC50 in nM). The best CoMSIA model gave significant statistical quality. The determination coefficient (R2) and Leave-One-Out cross-validation coefficient (Q2) are 0.85 and 0.58, respectively. Furthermore, the predictive ability of this model was evaluated by external validation((n = 11, R2test = 0.72, and MAE = 0.170 log units). The graphical contour maps could provide structural features to improve inhibitory activity. Furthermore, a good consistency between contour maps and molecular docking strongly demonstrates that the molecular modeling is reliable. Based on these satisfactory results, we designed several new potent PIM1 inhibitors and their inhibitory activities were predicted by the molecular models. Additionally, those newly designed inhibitors, showed promising results in the preliminary in silico ADMET evaluations, compared to the best inhibitor from the studied dataset. The results expand our understanding of thiazolidines as inhibitors of PIM1 and could be of great help in lead optimization for early drug discovery of highly potent inhibitors.
- Subjects :
- 0301 basic medicine
Quantitative structure–activity relationship
Molecular model
In silico
Thiazolidine
Quantitative Structure-Activity Relationship
PIM1
Computational biology
01 natural sciences
Biochemistry
Structure-Activity Relationship
03 medical and health sciences
chemistry.chemical_compound
Proto-Oncogene Proteins c-pim-1
Structural Biology
Humans
Protein kinase A
Protein Kinase Inhibitors
CAMK
Dose-Response Relationship, Drug
Molecular Structure
Drug discovery
Organic Chemistry
Computational Biology
0104 chemical sciences
Molecular Docking Simulation
010404 medicinal & biomolecular chemistry
Computational Mathematics
030104 developmental biology
chemistry
Thiazolidines
Subjects
Details
- ISSN :
- 14769271
- Volume :
- 74
- Database :
- OpenAIRE
- Journal :
- Computational Biology and Chemistry
- Accession number :
- edsair.doi.dedup.....18f30f385a183e289a079c7761ae8380
- Full Text :
- https://doi.org/10.1016/j.compbiolchem.2018.03.008