4.6 Article

Design Two Novel Tetrahydroquinoline Derivatives against Anticancer Target LSD1 with 3D-QSAR Model and Molecular Simulation

Journal

MOLECULES
Volume 27, Issue 23, Pages -

Publisher

MDPI
DOI: 10.3390/molecules27238358

Keywords

LSD1 inhibitors; 3D-QSAR; molecular docking; molecular dynamics simulations

Funding

  1. China Scholarship Council [202108410209]
  2. National Natural Science Foundation of China [21603180, 21933010, 22250710136]
  3. Foundation of He'nan Educational Committee [23A150007]
  4. Scientific and technological innovation talents in Colleges and universities in Henan Province [22HASTIT050]

Ask authors/readers for more resources

In this study, a 3D-QSAR model was established for tetrahydroquinoline-derivative inhibitors targeting LSD1. The models CoMFA and CoMSIA showed good statistical and predictive properties. Based on the contour maps, seven novel derivatives were designed. Molecular dynamics simulations, binding free energy calculations, and ADME prediction were performed for three compounds and a template molecule. The results suggested that the designed compounds performed better than the template, providing guidance for the design of LSD1 inhibitors.
Lysine-specific demethylase 1 (LSD1) is a histone-modifying enzyme, which is a significant target for anticancer drug research. In this work, 40 reported tetrahydroquinoline-derivative inhibitors targeting LSD1 were studied to establish the three-dimensional quantitative structure-activity relationship (3D-QSAR). The established models CoMFA (Comparative Molecular Field Analysis (q(2) = 0.778, R-pred(2) = 0.709)) and CoMSIA (Comparative Molecular Similarity Index Analysis (q(2) = 0.764, R-pred(2) = 0.713)) yielded good statistical and predictive properties. Based on the corresponding contour maps, seven novel tetrahydroquinoline derivatives were designed. For more information, three of the compounds (D1, D4, and Z17) and the template molecule 18x were explored with molecular dynamics simulations, binding free energy calculations by MM/PBSA method as well as the ADME (absorption, distribution, metabolism, and excretion) prediction. The results suggested that D1, D4, and Z17 performed better than template molecule 18x due to the introduction of the amino and hydrophobic groups, especially for the D1 and D4, which will provide guidance for the design of LSD1 inhibitors.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available