Detailed Information on Publication Record
2021
Structure Elucidation and Cholinesterase Inhibition Activity of Two New Minor Amaryllidaceae Alkaloids
MARIKOVA, J., A. AL MAMUN, L. AL SHAMMARI, J. KORABECNY, T. KUCERA et. al.Basic information
Original name
Structure Elucidation and Cholinesterase Inhibition Activity of Two New Minor Amaryllidaceae Alkaloids
Authors
MARIKOVA, J., A. AL MAMUN, L. AL SHAMMARI, J. KORABECNY, T. KUCERA, D. HULCOVA, J. KUNES, Milan MALANÍK (203 Czech Republic, belonging to the institution), M. VASKOVA, E. KOHELOVA, L. NOVAKOVA, L. CAHLIKOVA and M. POUR (guarantor)
Edition
Molecules, BASEL, SWITZERLAND, MDPI, 2021, 1420-3049
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
30104 Pharmacology and pharmacy
Country of publisher
Switzerland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 4.927
RIV identification code
RIV/00216224:14160/21:00122469
Organization unit
Faculty of Pharmacy
UT WoS
000628415800001
Keywords in English
Amaryllidaceae; 9-O-demethyllycorenine; narciabduliine; Alzheimer’ s disease
Tags
International impact, Reviewed
Změněno: 13/12/2021 11:50, JUDr. Sabina Krejčiříková
Abstract
V originále
Two new minor Amaryllidaceae alkaloids were isolated from Hippeastrum x hybridum cv. Ferrari and Narcissus pseudonarcissus cv. Carlton. The chemical structures were identified by various spectroscopic (one- and two-dimensional (1D and 2D) NMR, circular dichroism (CD), high-resolution mass spectrometry (HRMS) and by comparison with literature data of similar compounds. Both isolated alkaloids were screened for their human acetylcholinesterase (hAChE) and butyrylcholinesterase (hBuChE) inhibition activity. One of the new compounds, a heterodimer alkaloid of narcikachnine-type, named narciabduliine (2), showed balanced inhibition potency for both studied enzymes, with IC50 values of 3.29 +/- 0.73 mu M for hAChE and 3.44 +/- 0.02 mu M for hBuChE. The accommodation of 2 into the active sites of respective enzymes was predicted using molecular modeling simulation.