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Research Articles

Probing the binding mechanism of substituted pyridine derivatives as effective and selective lysine-specific demethylase 1 inhibitors using 3D-QSAR, molecular docking and molecular dynamics simulations

, , , , , & show all
Pages 3482-3495 | Received 28 May 2018, Accepted 21 Aug 2018, Published online: 05 Dec 2018
 

Abstract

Lysine-specific demethylase 1 (LSD1) was regarded as a promising anticancer target for the novel drug discovery. In this work, we carried out a molecular modeling study on the substituted pyridine derivatives as LSD1 inhibitors using three-dimensional quantitative structure-activity relationship (3D-QSAR), molecular docking and molecular dynamics (MD) simulations. Molecular docking studies predicted the probable binding mode of ligands, and suggested Lys661 and Asp555 might be key residues. Our 3D-QSAR models exhibited satisfactory internal and external predicted capacity. For the comparative molecular field analysis (CoMFA) model, its training set had q2 of 0.595 and r2 of 0.959, while test set had q2 of 0.512 and r2 of 0.846. For the best comparative molecular similarity indices analysis (CoMSIA) model, its training set had q2 of 0.733 and r2 of 0.982, while test set had q2 of 0.695 and r2 of 0.922. MD simulations result revealed the detailed binding process and found an important conserved water-bridge motif between ligands and protein. The binding free energies calculation using Molecular Mechanics Poisson–Boltzmann Surface Area (MM-PBSA) approach coincided well with the experimental bioactivity and demonstrated that the electrostatic interaction was the major driving force for binding. The energy decomposition pointed out some significant residues (Asp555, Lys661, Trp695, Tyr761 and FAD) for the LSD1 potency increase. Based on these results, five new inhibitors were designed, and their activities were predicted using our 3D-QSAR models.

Communicated by Ramaswamy H. Sarma

GRAPHIC ABSTRACT

Abbreviations
3D-QSAR=

three-dimensional quantitative structure-activity relationship

AD=

applicability domain

AML=

acute myeloid leukemia

CoMFA=

Comparative molecular field analysis

CoMSIA=

Comparative molecular similarity indices analysis

DNMTs=

DNA methyltransferases

E2F1=

E2F transcription factor 1

ESP=

Electrostatic potentials

FAD=

Flavin adenine dinucleotide

GAFF=

General Amber force field

H3K4=

Histone 3 lysine 4

H3K9=

Histone 3 lysine 9

LOO=

Leave-one-out

LSD1=

Lysine-specific demethylase 1

MAO-A=

Monoamine oxidase A

MAO-B=

Monoamine oxidase B

MAE=

Mean absolute error

MD=

Molecular dynamics

MLL=

mixed lineage leukemia

MM-PBSA=

Molecular Mechanics Poisson–Boltzmann Surface Area

PLS=

Partial least square

PME=

Particle Mesh Ewald

RMSD=

Root-mean square deviation

RMSE=

Root-mean square error

RMSF=

Root-mean-square fluctuations

SASA=

Solvent accessible surface area

SEE=

Standard error of estimate

TCP=

Tranylcypromine

Acknowledgements

We acknowledged the Zhengzhou university supercomputing center and college of physics engineering for the computational support.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by National Natural Science Foundation of China (Project No. 81430085, No. 81172937 and No. 21372206 for H.-M. Liu.; No. 21403200 for L.-N. Ding), Ph.D. Educational Award from Ministry of Education (No. 20134101130001 for H.-M. Liu). Lina acknowledged the financial aid for International training of high-level talents in Henan (2017) from Henan Administration of Foreign Experts Affairs.

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