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Natural compound targeting BDNF V66M variant: insights from in silico docking and molecular analysis

Brain-Derived Neurotrophic Factor (BDNF) is a neurotrophin gene family gene that encodes proteins vital for the growth, maintenance, and survival of neurons in the nervous system. The study aimed to screen natural compounds against BDNF variant (V66M), which affects memory, cognition, and mood regul...

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Autores principales: Sakhawat, Azra, Khan, Muhammad Umer, Rehman, Raima, Khan, Samiullah, Shan, Muhammad Adnan, Batool, Alia, Javed, Muhammad Arshad, Ali, Qurban
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10684480/
https://www.ncbi.nlm.nih.gov/pubmed/38015338
http://dx.doi.org/10.1186/s13568-023-01640-w
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author Sakhawat, Azra
Khan, Muhammad Umer
Rehman, Raima
Khan, Samiullah
Shan, Muhammad Adnan
Batool, Alia
Javed, Muhammad Arshad
Ali, Qurban
author_facet Sakhawat, Azra
Khan, Muhammad Umer
Rehman, Raima
Khan, Samiullah
Shan, Muhammad Adnan
Batool, Alia
Javed, Muhammad Arshad
Ali, Qurban
author_sort Sakhawat, Azra
collection PubMed
description Brain-Derived Neurotrophic Factor (BDNF) is a neurotrophin gene family gene that encodes proteins vital for the growth, maintenance, and survival of neurons in the nervous system. The study aimed to screen natural compounds against BDNF variant (V66M), which affects memory, cognition, and mood regulation. BDNF variant (V66M) as a target structure was selected, and Vitamin D, Curcumin, Vitamin C, and Quercetin as ligands structures were taken from PubChem database. Multiple tools like AUTODOCK VINA, BIOVIA discovery studio, PyMOL, CB-dock, IMOD server, Swiss ADEMT, and Swiss predict ligands target were used to analyze binding energy, interaction, stability, toxicity, and visualize BDNF-ligand complexes. Compounds Vitamin D3, Curcumin, Vitamin C, and Quercetin with binding energies values of − 5.5, − 6.1, − 4.5, and − 6.7 kj/mol, respectively, were selected. The ligands bind to the active sites of the BDNF variant (V66M) via hydrophobic bonds, hydrogen bonds, and electrostatic interactions. Furthermore, ADMET analysis of the ligands revealed they exhibited sound pharmacokinetic and toxicity profiles. In addition, an MD simulation study showed that the most active ligand bound favorably and dynamically to the target protein, and protein–ligand complex stability was determined. The finding of this research could provide an excellent platform for discovering and rationalizing novel drugs against stress related to BDNF (V66M). Docking, preclinical drug testing and MD simulation results suggest Quercetin as a more potent BDNF variant (V66M) inhibitor and forming a more structurally stable complex.
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spelling pubmed-106844802023-11-30 Natural compound targeting BDNF V66M variant: insights from in silico docking and molecular analysis Sakhawat, Azra Khan, Muhammad Umer Rehman, Raima Khan, Samiullah Shan, Muhammad Adnan Batool, Alia Javed, Muhammad Arshad Ali, Qurban AMB Express Original Article Brain-Derived Neurotrophic Factor (BDNF) is a neurotrophin gene family gene that encodes proteins vital for the growth, maintenance, and survival of neurons in the nervous system. The study aimed to screen natural compounds against BDNF variant (V66M), which affects memory, cognition, and mood regulation. BDNF variant (V66M) as a target structure was selected, and Vitamin D, Curcumin, Vitamin C, and Quercetin as ligands structures were taken from PubChem database. Multiple tools like AUTODOCK VINA, BIOVIA discovery studio, PyMOL, CB-dock, IMOD server, Swiss ADEMT, and Swiss predict ligands target were used to analyze binding energy, interaction, stability, toxicity, and visualize BDNF-ligand complexes. Compounds Vitamin D3, Curcumin, Vitamin C, and Quercetin with binding energies values of − 5.5, − 6.1, − 4.5, and − 6.7 kj/mol, respectively, were selected. The ligands bind to the active sites of the BDNF variant (V66M) via hydrophobic bonds, hydrogen bonds, and electrostatic interactions. Furthermore, ADMET analysis of the ligands revealed they exhibited sound pharmacokinetic and toxicity profiles. In addition, an MD simulation study showed that the most active ligand bound favorably and dynamically to the target protein, and protein–ligand complex stability was determined. The finding of this research could provide an excellent platform for discovering and rationalizing novel drugs against stress related to BDNF (V66M). Docking, preclinical drug testing and MD simulation results suggest Quercetin as a more potent BDNF variant (V66M) inhibitor and forming a more structurally stable complex. Springer Berlin Heidelberg 2023-11-28 /pmc/articles/PMC10684480/ /pubmed/38015338 http://dx.doi.org/10.1186/s13568-023-01640-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Sakhawat, Azra
Khan, Muhammad Umer
Rehman, Raima
Khan, Samiullah
Shan, Muhammad Adnan
Batool, Alia
Javed, Muhammad Arshad
Ali, Qurban
Natural compound targeting BDNF V66M variant: insights from in silico docking and molecular analysis
title Natural compound targeting BDNF V66M variant: insights from in silico docking and molecular analysis
title_full Natural compound targeting BDNF V66M variant: insights from in silico docking and molecular analysis
title_fullStr Natural compound targeting BDNF V66M variant: insights from in silico docking and molecular analysis
title_full_unstemmed Natural compound targeting BDNF V66M variant: insights from in silico docking and molecular analysis
title_short Natural compound targeting BDNF V66M variant: insights from in silico docking and molecular analysis
title_sort natural compound targeting bdnf v66m variant: insights from in silico docking and molecular analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10684480/
https://www.ncbi.nlm.nih.gov/pubmed/38015338
http://dx.doi.org/10.1186/s13568-023-01640-w
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