In silicoapproach for enhancing innate lipid content of Yarrowia lipolytica,by blocking the acyl-CoA oxidase-1 enzyme, using various analogous compounds of lipids

Autor: Sundaramahalingam, M.A., Amrutha, C., Rajeshbanu, J., Thirukumaran, K., Manibalan, S., Ashokkumar, Muthupandian, Sivashanmugam, P.
Zdroj: Journal of Biomolecular Structure and Dynamics; January 2023, Vol. 41 Issue: 2 p511-524, 14p
Abstrakt: AbstractYarrowia lipolyticais used as a model in this study to screen the potential candidates for inflating the innate lipid content of the cell. This study focuses on reducing the lipid degradation that occurs by the β-oxidation process and discursively increasing the innate lipid content. Acyl-CoA oxidase-1, the primary and initial enzyme involved in the lipid degradation pathway, was selected as a target and blocked using various lipid analogous compounds. The blocking study was carried out using molecular docking and dynamic studies using computation tools. The largest active site pocket located around the Phe-394 amino acid of the target protein is taken as a site for docking. The molecular docking was performed for the selected compounds (citric acid, Finsolv, lactic acid, oxalic acid, Tween-80 and Triton X-100) and the docking results were compared with the outcome of the standard molecule (octadecatrienoic acid). Citric acid, Finsolv, Tween-80 and Triton X-100 were found to be the potential candidates for blocking the target molecule in the static condition using docking studies, revealing a minimum binding energy requirement than the standard molecule. They were further taken for a dynamics study using GROMACS software. The RMSD, RMSF, number of hydrogen bond interactions and radius of gyration of the complex molecules were studied in a dynamic approach for 100 ns. Citric acid has been found to be the potential hit compound to block acyl-CoA oxidase-1 enzyme with its maximum hydrogen interaction and minimum fluctuations. It also revealed out the minimum total energy requirement for the complex formation.
Databáze: Supplemental Index