Synthesis and in silico study of chenodeoxycholic acid and its analogues as an alternative inhibitor of spike glycoprotein of SARS-CoV-2.
Gisele Rocha AguiarTelma L G LemosRaimundo Braz FilhoAluísio Marques da FonsecaEmanuelle Machado MarinhoPaulo Riceli Vasconcelos RibeiroKirley Marques CanutoFrancisco José Queiroz MontePublished in: Journal of biomolecular structure & dynamics (2022)
COVID-19, caused by SARS-CoV-2, is a viral infection that has generated one of the most significant health problems in the world. Spike glycoprotein is a crucial enzyme in viral replication and transcription mediation. There are reports in the literature on using bile acid in the fight against this virus through in vitro tests. This work presents the synthesis of nine chenodeoxycholic acid derivatives ( 1 - 9 ), which were prepared by oxidation, acetylation, formylation, and esterification reactions, and the analogs 6 - 9 have not yet been reported in the literature and the possibility of conducting an in silico study of bile acid derivatives as a therapeutic alternative to combat the virus using glycoprotein as a macromolecular target. As a result, five compounds ( 1 , 6 - 9 ) possessed favorable competitive interactions with the lowest energies compared to the native ligand (BLA), and the highlighted compound 9 got the best scores. At the same time, analog 1 presented the best ADME filter result. Molecular dynamics also simulated these compounds to verify their stability within the active protein site to seek new therapeutic propositions to fight against the pandemic. Physical and spectroscopic data have fully characterized all the compounds.Communicated by Ramaswamy H. Sarma.
Keyphrases
- sars cov
- molecular docking
- molecular dynamics
- respiratory syndrome coronavirus
- mental health
- coronavirus disease
- density functional theory
- systematic review
- healthcare
- public health
- physical activity
- escherichia coli
- machine learning
- emergency department
- depressive symptoms
- social support
- protein protein
- climate change
- nitric oxide
- artificial intelligence
- binding protein