Investigation on the binding mechanism of loratinib with the c-ros oncogene 1 (ROS1) receptor tyrosine kinase via molecular dynamics simulation and binding free energy calculations

2017 ◽  
Vol 36 (12) ◽  
pp. 3106-3113 ◽  
Author(s):  
Xiaoyun Wu ◽  
Yuanyuan Wang ◽  
Shanhe Wan ◽  
Jiajie Zhang
Keyword(s):  
Molecular Dynamics ◽  
Free Energy ◽  
Molecular Dynamics Simulation ◽  
Tyrosine Kinase ◽  
Receptor Tyrosine Kinase ◽  
Binding Free Energy ◽  
Free Energy Calculations ◽  
Dynamics Simulation ◽  
Binding Mechanism ◽  
Binding Free Energy Calculations

Assessing the ligand selectivity of sphingosine kinases using molecular dynamics and MM-PBSA binding free energy calculations

2016 ◽  
Vol 12 (4) ◽  
pp. 1174-1182 ◽  
Author(s):  
Liang Fang ◽  
Xiaojian Wang ◽  
Meiyang Xi ◽  
Tianqi Liu ◽  
Dali Yin
Keyword(s):  
Molecular Dynamics ◽  
Free Energy ◽  
Model Building ◽  
Binding Free Energy ◽  
Homology Model ◽  
Free Energy Calculations ◽  
Dynamics Simulation ◽  
Ligand Selectivity ◽  
Sphingosine Kinases ◽  
Binding Free Energy Calculations

Three residues of SK1 were identified important for selective SK1 inhibitory activity via SK2 homology model building, molecular dynamics simulation, and MM-PBSA studies.

scholarly journals Understanding the microscopic binding mechanism of hydroxylated and sulfated polybrominated diphenyl ethers with transthyretin by molecular docking, molecular dynamics simulations and binding free energy calculations

2017 ◽  
Vol 13 (4) ◽  
pp. 736-749 ◽  
Author(s):  
Huiming Cao ◽  
Yuzhen Sun ◽  
Ling Wang ◽  
Chunyan Zhao ◽  
Jianjie Fu ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Free Energy ◽  
Molecular Docking ◽  
Polybrominated Diphenyl Ethers ◽  
Binding Free Energy ◽  
Free Energy Calculations ◽  
Binding Mechanism ◽  
Diphenyl Ethers ◽  
Binding Free Energy Calculations ◽  
Dynamics Simulations

The binding of TTR with sulfated-PBDEs and OH-PBDEs shows different molecular recognition mechanisms.

Binding Free Energy and the structural changes determination in hGH protein with different concentrations of copper ions (A molecular dynamics simulation study)

2016 ◽  
Vol 15 (05) ◽  
pp. 1650045 ◽  
Author(s):  
Elham Tazikeh-Lemeski
Keyword(s):  
Molecular Dynamics ◽  
Free Energy ◽  
Molecular Dynamics Simulation ◽  
Surface Area ◽  
Structural Changes ◽  
Copper Ions ◽  
Binding Free Energy ◽  
Free Energy Calculations ◽  
Dynamics Simulation ◽  
Solvent Accessible Surface Area

In this study, we estimated the optimum concentration of copper ions that are effective in the stability and the structural changes of human growth hormone (hGH) protein in the combination of different concentrations of these ions at the molecular level using molecular dynamics simulation by Gromacs 4.6.5 software. Moreover, to estimate the binding affinity of copper ions to hGH protein, binding free energies is calculated by the molecular mechanics Poisson–Boltzmann Surface Area (MM-PBSA). The analysis of molecular dynamics (MD) trajectories as dictionary of the secondary structure of protein (DSSP), solvent accessible surface area (SASA) and binding free energy calculations show that hGH protein structure is more stabilized by increasing a limited concentration of copper ions. These findings align with our previous experimental studies.

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