Identification of the secondary metabolites of Sargassum tenerrimum and their molecular docking analysis against the targets of anxiety, depression and cognitive disorder

Abstract

Objective: This article aimed to identify the bioactive compounds present in the brown algae Sargassum tenerrimum using TLC and HPTLC fingerprinting analysis and followed in silico molecular docking against a potential target of anxiety, depression, and cognitive disorder with identified compounds. Methodology: Bioactive compounds were identified from the methanolic extract of Sargassum tenerrimum through TLC and HPTLC fingerprinting analysis. In silico molecular docking against a potential target of anxiety, depression, and cognitive disorder was performed on the latest version of AutoDock Vina v.1.2.0 software. The pharmacokinetic profile and possible bioactivities of the compounds were predicted using SwissADME. Results: Fucoxanthin, β-Cryptoxanthin, and Canthaxanthin were identified from the brown algae Sargassum tenerrimum through TLC and HPTLC fingerprinting analysis. Fucoxanthin showed the highest fitness score of -9.7 kcal/mol, -9.6 kcal/mol, and -9.7 kcal/mol against the target protein GABA-A, 5ht2c, and AchE, respectively. β-Cryptoxanthin showed the highest fitness score of -9.4 kcal/mol against target SERT compared with Fucoxanthin and Canthaxanthin. Canthaxanthin exhibited the highest fitness score-7.5 kcal/mol, -9.0 kcal/mol, -9.7 kcal/mol, -9.1 kcal/mol, -9.1 kcal/mol, -7.4 kcal/mol, -7.9 kcal/mol and -7.6 kcal/mol against the target receptor trkB, 5ht1A, D2, DAT, MOA-A, COMT, NMDA and 7nAchR respectively on the comparing with Fucoxanthin and β-Cryptoxanthin Conclusion: In silico docking and ADME analysis concluded that the canthaxanthin acted through various targets and was safer than the fucoxanthin and β-Cryptoxanthin. Hence, canthaxanthin can be the best potential compound in the therapy of neuropsychological disorders.