Computational investigation of imidazopyridine analogs as protein kinase B (Akt1) allosteric inhibitors by using 3D-QSAR, molecular docking and molecular dynamics simulations. Issue 1 (2nd January 2021)
- Record Type:
- Journal Article
- Title:
- Computational investigation of imidazopyridine analogs as protein kinase B (Akt1) allosteric inhibitors by using 3D-QSAR, molecular docking and molecular dynamics simulations. Issue 1 (2nd January 2021)
- Main Title:
- Computational investigation of imidazopyridine analogs as protein kinase B (Akt1) allosteric inhibitors by using 3D-QSAR, molecular docking and molecular dynamics simulations
- Authors:
- Gu, Xi
Wang, Ying
Wang, Mingxing
Wang, Jian
Li, Ning - Abstract:
- Abstract: Protein kinase B (Akt1), which is a pivotal node in various cellular signaling pathways and up-regulated in many human tumors, has been regarded as a promising target to discover novel anticancer candidates. In this research, molecular modeling methods including molecular docking, three-dimensional quantitative structure–activity relationship (3 D-QSAR) and molecular dynamics (MD) simulation were applied on a series of Akt1 allosteric inhibitors to explore the structural requirements for their activities. Molecular docking study was performed to collect the binding mode of Akt1 with its inhibitors. Subsequently, comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were used to generate 3 D-QSAR model. The Q 2 and R 2 values of the best CoMFA model were calculated as 0.612 and 0.992, while those for the best CoMSIA model were calculated as 0.595 and 0.991, which verified the accuracy of the models. Based on the contour maps, 15 novel Akt1 inhibitors were designed and all of them exhibited better predicted activities than the most active compound in the dataset. MD simulations were implemented to evaluate the stability of the complexes under physiological conditions and the results were congruent with molecular docking. Finally, binding free energy was calculated through molecular mechanics generalized born surface area (MM-GBSA) approach. The results were consistent with the bioactivities, which revealed thatAbstract: Protein kinase B (Akt1), which is a pivotal node in various cellular signaling pathways and up-regulated in many human tumors, has been regarded as a promising target to discover novel anticancer candidates. In this research, molecular modeling methods including molecular docking, three-dimensional quantitative structure–activity relationship (3 D-QSAR) and molecular dynamics (MD) simulation were applied on a series of Akt1 allosteric inhibitors to explore the structural requirements for their activities. Molecular docking study was performed to collect the binding mode of Akt1 with its inhibitors. Subsequently, comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were used to generate 3 D-QSAR model. The Q 2 and R 2 values of the best CoMFA model were calculated as 0.612 and 0.992, while those for the best CoMSIA model were calculated as 0.595 and 0.991, which verified the accuracy of the models. Based on the contour maps, 15 novel Akt1 inhibitors were designed and all of them exhibited better predicted activities than the most active compound in the dataset. MD simulations were implemented to evaluate the stability of the complexes under physiological conditions and the results were congruent with molecular docking. Finally, binding free energy was calculated through molecular mechanics generalized born surface area (MM-GBSA) approach. The results were consistent with the bioactivities, which revealed that van der Waals and coulomb energy made the most contribution during the molecular binding process. In a word, our research provided a significant insight for further discovery of potent Akt1 allosteric inhibitors. Graphical Abstract: Communicated by Ramaswamy H. Sarma … (more)
- Is Part Of:
- Journal of biomolecular structure & dynamics. Volume 39:Issue 1(2021)
- Journal:
- Journal of biomolecular structure & dynamics
- Issue:
- Volume 39:Issue 1(2021)
- Issue Display:
- Volume 39, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 39
- Issue:
- 1
- Issue Sort Value:
- 2021-0039-0001-0000
- Page Start:
- 63
- Page End:
- 78
- Publication Date:
- 2021-01-02
- Subjects:
- Akt1 -- 3D-QSAR -- molecular docking -- molecular dynamics simulations -- MM-GBSA
Biomolecules -- Periodicals
Molecular structure -- Periodicals
Molecular Biology -- Periodicals
Biomechanics -- Periodicals
572 - Journal URLs:
- http://www.tandfonline.com/loi/tbsd20 ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/07391102.2019.1705185 ↗
- Languages:
- English
- ISSNs:
- 0739-1102
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4953.850000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 15700.xml