Small-to-Large Length Scale Transition of TMAO Interaction with Hydrophobic Solutes

2021 ◽  
Author(s):  
Angelina Folberth ◽  
Swaminath Bharadwaj ◽  
Nico van der Vegt
Keyword(s):  
Molecular Dynamics ◽  
Free Energy ◽  
Md Simulations ◽  
Free Energy Calculations ◽  
Length Scale ◽  
Simulation Data ◽  
Energy Calculations ◽  
Large Length ◽  
Hydrophobic Solutes ◽  
Large Length Scale

We report the effect of trimethylamine N-oxide (TMAO) on the solvation of nonpolar solutes in water studied with molecular dynamics (MD) simulations and free-energy calculations. The simulation data indicate the...

scholarly journals Fast and Flexible GPU Accelerated Binding Free Energy Calculations within the AMBER Molecular Dynamics Package

2018 ◽  
Author(s):  
Daniel J. Mermelstein ◽  
Lin Charles ◽  
Nelson Gard ◽  
Kretsch Rachael ◽  
J. Andrew McCammon ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Free Energy ◽  
Graphics Processing Units ◽  
Early Stage ◽  
Binding Free Energy ◽  
Md Simulations ◽  
Free Energy Calculations ◽  
Energy Calculations ◽  
Design And Optimization ◽  
Time Required

AbstractAlchemical free energy calculations (AFE) based on molecular dynamics (MD) simulations are key tools in both improving our understanding of a wide variety of biological processes and accelerating the design and optimization of therapeutics for numerous diseases. Computing power and theory have, however, long been insufficient to enable AFE calculations to be routinely applied in early stage drug discovery. One of the major difficulties in performing AFE calculations is the length of time required for calculations to converge to an ensemble average. CPU implementations of MD based free energy algorithms can effectively only reach tens of nanoseconds per day for systems on the order of 50,000 atoms, even running on massively parallel supercomputers. Therefore, converged free energy calculations on large numbers of potential lead compounds are often untenable, preventing researchers from gaining crucial insight into molecular recognition, potential druggability, and other crucial areas of interest. Graphics Processing Units (GPUs) can help address this. We present here a seamless GPU implementation, within the PMEMD module of the AMBER molecular dynamics package, of thermodynamic integration (TI) capable of reaching speeds of >140 ns/day for a 44,907-atom system, with accuracy equivalent to the existing CPU implementation in AMBER. The implementation described here is currently part of the AMBER 18 beta code and will be an integral part of the upcoming version 18 release of AMBER.

scholarly journals Binding Affinities of Sanggenon Derivatives as PTP1B Inhibitors; Using Molecular Dynamics and Free Energy Calculations

2021 ◽  
Author(s):  
Safak OZHAN KOCAKAYA
Keyword(s):  
Molecular Dynamics ◽  
Free Energy ◽  
Tyrosine Phosphatase ◽  
Decomposition Analysis ◽  
Md Simulations ◽  
Free Energy Calculations ◽  
Energy Decomposition Analysis ◽  
Free Energy Decomposition ◽  
Poisson Boltzmann ◽  
Ptp1b Inhibitors

Abstract Recently, protein tyrosine phosphatase 1B (PTP1B) inhibitors have become the frontier as possible targeting for anti-cancer and antidiabetic drugs. The contemporary observe represents a pc assisted version to investigate the importance of precise residues within the binding web site of PTP1B with numerous Sanggenon derivatives remoted from nature. Molecular dynamics (MD) simulations were performed to estimate the dynamics of the complexes, and absolute binding unfastened energies have been calculated with exclusive additives, and carried out through the usage of the Molecular Mechanics-Poisson-Boltzmann floor region (MM-PB/SA) and Generalized Born surface vicinity (MM-GB/SA) strategies. The effects show that the expected free energies of the complexes are normally constant with the available experimental statistics. MM/GBSA free energy decomposition analysis shows that the residues Asp29, Arg24, Met258, and , Arg254 in the second active site in PTP1B are crucial for the excessive selectivity of the inhibitors.

scholarly journals Insight into the Binding of DFG-out Allosteric Inhibitors to B-Raf Kinase Using Molecular Dynamics and Free Energy Calculations

2015 ◽  
Vol 11 (2) ◽  
pp. 124-136 ◽  
Author(s):  
Luis Coronel ◽  
Jose Granadino-Roldán ◽  
Marta Pinto ◽  
Maria Tomas ◽  
Maria Pujol ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Free Energy ◽  
Free Energy Calculations ◽  
Allosteric Inhibitors ◽  
Energy Calculations ◽  
Raf Kinase ◽  
Insight Into
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