2023
DOI: 10.1080/07391102.2023.2233617
|View full text |Cite
|
Sign up to set email alerts
|

Structural and dynamics insights into the GBA variants associated with Parkinson’s disease

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4

Relationship

2
2

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 50 publications
0
1
0
Order By: Relevance
“…The fundamental elements of protein–ligand interactions can be studied well with the use of MD simulations. They expand our understanding of the molecular mechanisms behind protein–ligand interaction, enhance docking predictions, rank ligand candidates, and coordinate subsequent optimization efforts 68 70 . According to MMGBSA analyses and MD simulations, these compounds were stable as effective inhibitors within the binding pocket of protein.…”
Section: Discussionmentioning
confidence: 99%
“…The fundamental elements of protein–ligand interactions can be studied well with the use of MD simulations. They expand our understanding of the molecular mechanisms behind protein–ligand interaction, enhance docking predictions, rank ligand candidates, and coordinate subsequent optimization efforts 68 70 . According to MMGBSA analyses and MD simulations, these compounds were stable as effective inhibitors within the binding pocket of protein.…”
Section: Discussionmentioning
confidence: 99%
“…A Langevin thermostat was used to keep the temperature constant at 300 K, and a Berendsen barostat was used to keep the pressure constant at 1.0 bar. Each system was optimized using a two-step energy minimization process that involved conjugate gradient and steepest descent algorithms [ 25 ]. We employed the AMBER-22 Particle Mesh Ewald (PME) method to calculate the long-range electrostatic interaction.…”
Section: Methodsmentioning
confidence: 99%