Determination of Structural Requirements of N-Substituted Tetrahydro-β-Carboline Imidazolium Salt Derivatives Using in Silico Approaches for Designing MEK-1 Inhibitors

• Main Authors: Jingwei Liang, Mingyang Wang, Xinyang Li, Xin He, Chong Cao, Fanhao Meng
• Format: Article
• Language: English
• Published: MDPI AG 2017-06-01
• Series: Molecules
• Subjects: 3D-QSAR; MEK-1; inhibitors; docking; molecular dynamics simulations
• Online Access: http://www.mdpi.com/1420-3049/22/6/1020

Novel N-substituted tetrahydro-β-carboline imidazolium salt derivatives proved to have potent antitumor activity in past research. The Topomer CoMFA and CoMSIA function in Sybyl-X 2.0 software was applied for the identification of important features of N-substituted tetrahydro-β-carboline-imidazolium salt derivative moieties. In the case of Topomer CoMFA, all the compounds were split into two fragments which were used to generate a 3D invariant representation, the statistical results of the Topomer CoMFA model: q2 value of 0.700; r2 value of 0.954; with 5 optimum components. The database alignment was utilized for building the CoMSIA model, and the CoMSIA model had q2 and r2 values of 0.615 and 0.897, with 4 optimum components. Target fishing of the PharmMapper platform was utilised for finding potential targets, the human mitogen-activated protein kinase 1 (MEK-1) was found to be the primary potential target for the three compounds with the fit scores of 6.288, 5.741, and 6.721. The molecular docking technique of MOE 2015 was carried out to identify the interactions of amino acids surrounding the ligand, and correlating QASR contour maps were used to identify structural requirements of N-substituted tetrahydro-β-carboline imidazolium salt moieties. Molecular dynamics and simulation studies proved that the target protein was stable for 0.8–5 ns. The pivotal moieties of N-substituted tetrahydro-β-carboline imidazolium salt derivatives and its potential targets were verified by the QASR study, PharmMapper, and the molecular docking study which would be helpful to design novel MEK-1 inhibitors for anticancer drugs.