Novel Sars-Cov-2 Inhibitors From Phenethylthiazolethiourea Derivatives Using Hybrid Qsar Models And Docking Simulation

Pham Van Tat,Tran Thai Hoa, Au Vo Ky, Pham Nu Ngoc Han

SMART SCIENCE(2021)

Cited 3|Views3
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Abstract
Currently, there are several groups of HIV-1 virus inhibitors that could potentially be used in the treatment of SARS-CoV-2. Particularly, the phenethylthiazolethiourea compounds are capable of inhibiting HIV-1 RT and have been tested by IC50. This work contributed to the search for SARS-CoV-2 inhibitors; a group of these compounds was developed to obtain SARS-CoV-2 inhibitors. The hybrid QSAR(GA-ANN) model with I(5)-HL(9)-O(1) architecture used for developing for HIV-1 inhibitors and it successfully predicted the pIC50 activities of six newly designed compounds. The predicted results of the pIC50 activity received from the QSAR(GA-ANN) model agreed well with the docking simulation. The C-n6 new molecule that has been bound to the SARS-CoV-2 protein receptors (PDB ID: 6LU7) using docking simulation. It demonstrated a more effective activity against HIV-1 (PDB ID: 1ODW). This compound C-n6 exhibited the binding affinity for the HIV-1 protein (1ODW) is -23.6137 kJ.mol-1; for the target protein SARS-CoV-2 (6LU7), its binding affinity is -27.4235 kJ.mol-1. The retrosynthesis plan for the most active substance C-n6 1-(2-chloro-5-hydroxy-4-nitrophenethyl)-3- (thiazol-2-yl) thiourea has been successfully constructed. In this research the designed directions for new substances can generate the SARS-CoV-2 inhibitory drugs in a fast and reliable way.[GRAPHICS].
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Key words
SARS-CoV-2, hybrid QSAR models, molecular docking simulation, retrosynthesis analysis
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