Therapeutic strategy to identify potential RAGE inhibitors against Alzheimer’s disease: An in-silico approach
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F25%3APU152604" target="_blank" >RIV/00216305:26220/25:PU152604 - isvavai.cz</a>
Výsledek na webu
<a href="https://ieeexplore.ieee.org/document/10822044" target="_blank" >https://ieeexplore.ieee.org/document/10822044</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/BIBM62325.2024.10822044" target="_blank" >10.1109/BIBM62325.2024.10822044</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Therapeutic strategy to identify potential RAGE inhibitors against Alzheimer’s disease: An in-silico approach
Popis výsledku v původním jazyce
Alzheimer’s disease (AD) is a progressive neurodegenerative disorder caused by the accumulation of senile plaques composed of amyloid beta (Aβ) protein and neurofibrillary tangles of abnormal hyperphosphorylated tau (τ) protein. The receptor for advanced glycation end products (RAGE) is the immunoglobulin superfamily receptor that can bind to numerous extracellular and intracellular ligands leading to inflammatory disorders including cancer, diabetes, and Alzheimer’s disease (AD). This study aims to identify the potential RAGE inhibitors through in-silico molecular modeling approaches. Here we performed structure-based virtual screening of 556,773 compounds from various databases to identify prospective lead compounds. The resultant molecules with good glide scores were assessed via molecular docking studies to check their inhibitory effect against RAGE (PDB: 6XQ3). The top five hits with a binding affinity (<-6.0 kcal/mol) were further subjected to molecular dynamic (MD) simulations for 100ns to identify the stability of the hit compounds with RAGE. Furthermore, the top five hits were selected for the binding free energy calculation through Prime/MM-GBSA, per-residue decomposition analysis, and ADMET evaluation. These results indicate that the hit compounds IBSNC and IBSSC3 can be used for further in-vitro analysis and could be a promising candidate for targeting RAGE protein and acting as an anti-Alzheimer drug.
Název v anglickém jazyce
Therapeutic strategy to identify potential RAGE inhibitors against Alzheimer’s disease: An in-silico approach
Popis výsledku anglicky
Alzheimer’s disease (AD) is a progressive neurodegenerative disorder caused by the accumulation of senile plaques composed of amyloid beta (Aβ) protein and neurofibrillary tangles of abnormal hyperphosphorylated tau (τ) protein. The receptor for advanced glycation end products (RAGE) is the immunoglobulin superfamily receptor that can bind to numerous extracellular and intracellular ligands leading to inflammatory disorders including cancer, diabetes, and Alzheimer’s disease (AD). This study aims to identify the potential RAGE inhibitors through in-silico molecular modeling approaches. Here we performed structure-based virtual screening of 556,773 compounds from various databases to identify prospective lead compounds. The resultant molecules with good glide scores were assessed via molecular docking studies to check their inhibitory effect against RAGE (PDB: 6XQ3). The top five hits with a binding affinity (<-6.0 kcal/mol) were further subjected to molecular dynamic (MD) simulations for 100ns to identify the stability of the hit compounds with RAGE. Furthermore, the top five hits were selected for the binding free energy calculation through Prime/MM-GBSA, per-residue decomposition analysis, and ADMET evaluation. These results indicate that the hit compounds IBSNC and IBSSC3 can be used for further in-vitro analysis and could be a promising candidate for targeting RAGE protein and acting as an anti-Alzheimer drug.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10608 - Biochemistry and molecular biology
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
ISBN
979-8-3503-8622-6
ISSN
2156-1133
e-ISSN
—
Počet stran výsledku
8
Strana od-do
6061-6068
Název nakladatele
IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2024
Místo vydání
Lisbon, Portugal
Místo konání akce
Lisbon
Datum konání akce
3. 12. 2024
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—