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Computational insights into β-carboline inhibition of monoamine oxidase A
ID
Prah, Alja
(
Author
),
ID
Gavranić, Tanja
(
Author
),
ID
Perdih, Andrej
(
Author
),
ID
Sollner Dolenc, Marija
(
Author
),
ID
Mavri, Janez
(
Author
)
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MD5: E8B3BC626B44A663B432A9906D8C9264
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https://www.mdpi.com/1420-3049/27/19/6711
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Abstract
Monoamine oxidases (MAOs) are an important group of enzymes involved in the degradation of neurotransmitters and their imbalanced mode of action may lead to the development of various neuropsychiatric or neurodegenerative disorders. In this work, we report the results of an in-depth computational study in which we performed a static and a dynamic analysis of a series of substituted β-carboline natural products, found mainly in roasted coffee and tobacco smoke, that bind to the active site of the MAO‑A isoform. By applying molecular docking in conjunction with structure-based pharmacophores and molecular dynamics simulations coupled with dynamic pharmacophores, we extensively investigated the geometric aspects of MAO-A binding. To gain insight into the energetics of binding, we used the linear interaction energy (LIE) method and determined the key anchors that allow productive β-carboline binding to MAO-A. The results presented herein could be applied in the rational structure-based design and optimization of β-carbolines towards preclinical candidates that would target the MAO-A enzyme and would be applicable especially in the treatment of mental disorders such as depression.
Language:
English
Keywords:
monoamine oxidase
,
β-carbolines
,
depression
,
linear interaction energy
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FFA - Faculty of Pharmacy
Publication status:
Published
Publication version:
Version of Record
Year:
2022
Number of pages:
20 str.
Numbering:
Vol. 27, iss. 19, art. 6711
PID:
20.500.12556/RUL-141864
UDC:
616.895.4:616-085
ISSN on article:
1420-3049
COBISS.SI-ID:
124842499
Publication date in RUL:
10.10.2022
Views:
524
Downloads:
85
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Record is a part of a journal
Title:
Molecules
Shortened title:
Molecules
Publisher:
MDPI
ISSN:
1420-3049
COBISS.SI-ID:
18462981
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
monoaminooksidaza
,
β-karbolini
,
energija linearne interakcije
,
depresija (medicina)
Projects
Funder:
ARRS - Slovenian Research Agency
Project number:
P1-0012-2019
Name:
Molekulske simulacije, bioinformatika in načrtovanje zdravilnih učinkovin
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