Index of papers in March 2015 that mention
  • free energy
Lucas A. Defelipe, Esteban Lanzarotti, Diego Gauto, Marcelo A. Marti, Adrián G. Turjanski
QM/MM methods
Determination of the reaction free energy profile using QM(DFTB)/MM and Multiple steered molecular dynamics (MSMD) strategy.
QM/MM methods
To determine the free energy of the reaction we used the MSMD method [56,57] which allows to link non equilibrium pulling trajectories with equilibrium properties like the free energy, and has been extensively used in our group to determine free energy profiles[57—60].
QM/MM methods
AG(>L) and W(>L) are the change in free energy and the external work performed on the system as it evolves from k 2 k0 to k, respectively.
Results
Secondly, we analyzed the “forbidden” conformation and finally, we determined the free energy profile of the sulfenic acid to cyclic sulfenyl amide reaction using QM/MM methods in human PTPlB.
Results
We initially analyzed the free energy difference between the forbidden-psi conformation and allowed helix conformation.
Results
3B allows an estimation of how much energy proteins must pay to constraint the Cys in the reactive (forbidden-psi) conformation using the Ramachandran plot derived free energy , estimated it around 5.5 kcal/mol.
free energy is mentioned in 19 sentences in this paper.
Topics mentioned in this paper:
Miriam C. Klein-Flügge, Steven W. Kennerley, Ana C. Saraiva, Will D. Penny, Sven Bestmann
Bayesian parameter estimation and model comparison
Importantly, the algorithm also provides the free energy P, which is an approximation to the model evidence.
Bayesian parameter estimation and model comparison
This free energy approach yields better model scores than does the Akaike Information Criterion (AIC) or Bayesian Information Criterion (BIC) [95].
Bayesian parameter estimation and model comparison
The optimal set of parameters, i.e., that obtained from the initialization that resulted in the maximal free energy , is reported in this manuscript.
free energy is mentioned in 4 sentences in this paper.
Topics mentioned in this paper: