Diverse bioactive secondary metabolites from Aspergillus terreus : antimicrobial, anticancer, and anti-SARS-CoV-2 activity studies.
Abdelaaty HamedAhmed S Abdel-RazekAhmed Bakr AbdelwahabAhmed El TaweelMohamed GabAllahNorbert SewaldMohamed ShaabanPublished in: Zeitschrift fur Naturforschung. C, Journal of biosciences (2024)
Owing to its high interest as prolific source of diverse bioactive compounds referred in our previous research work, we have scaled-up the fermentation of the marine Aspergillus terreus LGO13 on a liquid culture medium to isolate and identify the very minor/further promising bioactive secondary metabolites and to study their antibacterial, cytotoxic, and antiviral properties. Twenty-three known bioactive metabolites, including the recently discovered microbial natural product N -benzoyl-tryptophan ( 1 ), were obtained herein. Their structures were determined using HR-ESI-MS 1D/2D NMR spectroscopy and data from the literature. The biological properties of the microbial extract and the resulting compounds were examined using a set of microorganisms, cervix carcinoma KB-3-1, nonsmall cell lung cancer (NSCLC) A549, and coronavirus (SARS-CoV-2), respectively. Molecular docking (MD) simulations were used to investigate the potential targets of the separated metabolites as anti-SARS-CoV-2 drugs. According to the current study, a viral protein that may be the target of anticovid drugs is a papain-like protease (PLpro), and chaetominine ( 2 ) appears to be a viable choice against this protein. We evaluated the antiviral efficacy of chaetominine ( 2 ), fumitremorgin C ( 6 ), and azaspirofuran A ( 9 ) against SARS-CoV-2 based on MD data. Chaetominine ( 2 ) and azaspirofuran A ( 9 ) displayed intermediate selectivity indices (SI = 6.6 and 3.2, respectively), while fumitremorgin C ( 6 ) displayed a high selectivity index (SI = 19.77). These findings show that fumitremorgin C has promising antiviral action against SARS-CoV-2.
Keyphrases
- sars cov
- ms ms
- respiratory syndrome coronavirus
- molecular docking
- molecular dynamics
- small cell lung cancer
- microbial community
- electronic health record
- staphylococcus aureus
- systematic review
- big data
- mass spectrometry
- oxidative stress
- amino acid
- high resolution
- anti inflammatory
- machine learning
- small molecule
- epidermal growth factor receptor
- data analysis
- saccharomyces cerevisiae