Investigation on the binding specificity of Agrocybe cylindracea galectin towards α(2,6)-linked sialyllactose by molecular modeling and molecular dynamics simulations

2019 ◽  
Vol 38 (9) ◽  
pp. 566-585
Author(s):  
Ponnusamy Parasuraman ◽  
Jeyasigamani F. A. Selvin ◽  
M. Michael Gromiha ◽  
Kazuhiko Fukui ◽  
Kasinadar Veluraja
Keyword(s):  
Molecular Dynamics ◽  
Molecular Modeling ◽  
Molecular Dynamics Simulations ◽  
Binding Specificity ◽  
Agrocybe Cylindracea ◽  
Dynamics Simulations

scholarly journals Steered molecular dynamics simulations reveal the role of Ca2+ in regulating mechanostability of cellulose-binding proteins

2018 ◽  
Vol 20 (35) ◽  
pp. 22674-22680 ◽  
Author(s):  
Melissabye Gunnoo ◽  
Pierre-André Cazade ◽  
Adam Orlowski ◽  
Mateusz Chwastyk ◽  
Haipei Liu ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Molecular Dynamics Simulations ◽  
Binding Proteins ◽  
Mechanical Stability ◽  
Binding Specificity ◽  
Steered Molecular Dynamics ◽  
Dynamics Simulations ◽  
Cellulose Binding ◽  
High Mechanical Stability

Cellulosome nanomachines utilise binding specificity and high mechanical stability in breaking down cellulose.

Molecular Modeling Studies of Anti-Alzheimer Agents by QSAR, Molecular Docking and Molecular Dynamics Simulations Techniques

2020 ◽  
Vol 16 (7) ◽  
pp. 903-927 ◽  
Author(s):  
Rahman Abdizadeh ◽  
Farzin Hadizadeh ◽  
Tooba Abdizadeh
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Molecular Modeling ◽  
Molecular Dynamics Simulations ◽  
Data Set ◽  
Ache Inhibitors ◽  
Modeling Studies ◽  
Qsar Models ◽  
Molecular Modeling Studies ◽  
Dynamics Simulations

Background: Acetylcholinesterase (AChE), a serine hydrolase, is an important drug target in the treatment of Alzheimer's disease (AD). Thus, novel AChE inhibitors were designed and developed as potential drug candidates, for significant therapy of AD. Objective: In this work, molecular modeling studies, including CoMFA, CoMFA-RF, CoMSIA, HQSAR and molecular docking and molecular dynamics simulations were performed on a series of AChE inhibitors to get more potent anti-Alzheimer drugs. Methods: 2D/3D-QSAR models including CoMFA, CoMFA-RF, CoMSIA, and HQSAR methods were carried out on 40 pyrimidinylthiourea derivatives as data set by the Sybylx1.2 program. Molecular docking and molecular dynamics simulations were performed using the MOE software and the Sybyl program, respectively. Partial least squares (PLS) model as descriptors was used for QSAR model generation. Results: The CoMFA (q2, 0.629; r2ncv, 0.901; r2pred, 0.773), CoMFA-RF (q2, 0.775; r2ncv, 0.910; r2pred, 0.824), CoMSIA (q2, 0.754; r2ncv, 0.919; r2pred, 0.874) and HQSAR models (q2, 0.823; r2ncv, 0.976; r2pred, 0.854) for training and test set yielded significant statistical results. Conclusion: These QSAR models were excellent, robust and had good predictive capability. Contour maps obtained from the QSAR models were validated by molecular dynamics simulationassisted molecular docking study. The resulted QSAR models could be useful for the rational design of novel potent AChE inhibitors in Alzheimer's treatment.

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