Title

Studies on the cholinesterases inhibiting compounds from the Cassiopea andromeda venom

Authors

Hossein Darabi¹, Iraj Nabipour^1,*, Gholamhossein Mohebbi^1,*, Amir Vazirizadeh², Hossein Vatanpour³, Ammar Maryamabadi¹

Affiliation

¹The Persian Gulf Marine Biotechnology Research Center, the Persian Gulf Biomedical Research institute, Bushehr University of Medical Sciences, Bushehr, Iran; ²Department of Marine Biotechnology, The Persian Gulf Research and Studies Center, The Persian Gulf University, Bushehr, Iran; ³Department of Pharmacology and Toxicology, Faculty of Pharmacy, Shaheed Beheshti Medical Sciences University, Tehran, Iran. *Correspondence: the Persian Gulf Marine Biotechnology Research Center, the Persian Gulf Biomedical Research Center, institute University of Medical Sciences, Boostan 19 Alley, Postal Code: 7514763448 Moallem Avenue, Bushehr/Iran;

Email

These corresponding authors contributed equally to this work: inabipour@gmail.com; Mohebbihsn@yahoo.com

Article Type

Research Article

Date

Submitted on July 15, 2020; Revision August 5, 2020; Accepted August 6, 2020; Published September 30, 2020

Cholinesterase inhibitors find application in the combat and care of several diseases, especially AD. Jellyfish venoms are the most promising sources of potent cholinesterase inhibitors. Therefore, it is of interest to study cholinesterases inhibiting compounds from the Cassiopea andromeda venom. We report bioactive compounds using the GC-MC method followed by molecular modeling and docking data analysis. The GC-MS analysis of the crude venom led to the identification of seven bioactive compounds (C1-C7), comprising the steroidal alkaloids, phenolic and carotenoid derivatives. The venom exhibited inhibitory activities against the cholinesterase enzymes. The compound C2, a Dioxolane steroid, displayed the strongest inhibition on both AChE and BChE activities for further consideration.

Keywords

Cassiopea andromeda, Venom, Cholinesterases, in vitro, in silico, Alzheimer's disease.

Citation

Darabi et al. Bioinformation 16(9): 702-709 (2020)

Edited by

P Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.