Literature DB >> 29635214

3D QSAR studies, molecular docking and ADMET evaluation, using thiazolidine derivatives as template to obtain new inhibitors of PIM1 kinase.

Adnane Aouidate1, Adib Ghaleb2, Mounir Ghamali3, Abdellah Ousaa4, M'barek Choukrad5, Abdelouahid Sbai6, Mohammed Bouachrine7, Tahar Lakhlifi8.   

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.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Drug design; Molecular docking; PIM1; QSAR; Thiazolidine; in silico ADMET

Mesh:

Substances:

Year:  2018        PMID: 29635214     DOI: 10.1016/j.compbiolchem.2018.03.008

Source DB:  PubMed          Journal:  Comput Biol Chem        ISSN: 1476-9271            Impact factor:   2.877


  4 in total

1.  Design of potential anti-tumor PARP-1 inhibitors by QSAR and molecular modeling studies.

Authors:  Zeinab Abbasi-Radmoghaddam; Siavash Riahi; Sajjad Gharaghani; Mohammad Mohammadi-Khanaposhtanai
Journal:  Mol Divers       Date:  2020-03-05       Impact factor: 2.943

2.  Construction of Quantitative Structure Activity Relationship (QSAR) Models to Predict Potency of Structurally Diversed Janus Kinase 2 Inhibitors.

Authors:  Saw Simeon; Nathjanan Jongkon
Journal:  Molecules       Date:  2019-12-01       Impact factor: 4.411

3.  Comparison of various methods for validity evaluation of QSAR models.

Authors:  Shadi Shayanfar; Ali Shayanfar
Journal:  BMC Chem       Date:  2022-08-23

4.  Structure-Based Virtual Screening and De Novo Design of PIM1 Inhibitors with Anticancer Activity from Natural Products.

Authors:  Hwangseo Park; Jinwon Jeon; Kewon Kim; Soyeon Choi; Sungwoo Hong
Journal:  Pharmaceuticals (Basel)       Date:  2021-03-18
  4 in total

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