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All-atom empirical potential for molecular modeling and dynamics studies of proteins.

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TLDR
The results demonstrate that use of ab initio structural and energetic data by themselves are not sufficient to obtain an adequate backbone representation for peptides and proteins in solution and in crystals.
Abstract
New protein parameters are reported for the all-atom empirical energy function in the CHARMM program. The parameter evaluation was based on a self-consistent approach designed to achieve a balance between the internal (bonding) and interaction (nonbonding) terms of the force field and among the solvent−solvent, solvent−solute, and solute−solute interactions. Optimization of the internal parameters used experimental gas-phase geometries, vibrational spectra, and torsional energy surfaces supplemented with ab initio results. The peptide backbone bonding parameters were optimized with respect to data for N-methylacetamide and the alanine dipeptide. The interaction parameters, particularly the atomic charges, were determined by fitting ab initio interaction energies and geometries of complexes between water and model compounds that represented the backbone and the various side chains. In addition, dipole moments, experimental heats and free energies of vaporization, solvation and sublimation, molecular volume...

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GROMOS++ Software for the Analysis of Biomolecular Simulation Trajectories.

TL;DR: These programs are reviewed and the various structural, dynamic, and thermodynamic quantities that can be analyzed using time series, correlation functions, and distributions are described together with technical aspects of their implementation in GROMOS.
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Biomolecular electrostatics and solvation: a computational perspective.

TL;DR: The solvation of biomolecules with a computational biophysics view toward describing the phenomenon is discussed, and the main focus lies on the computational aspect of the models.
Journal ArticleDOI

Metadynamics with adaptive Gaussians

TL;DR: It is illustrated on the case of alanine dipeptide the advantage of using adaptive Gaussians in conjunction with the new free-energy estimator both in terms of accuracy and speed of convergence.
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Quantum Dynamics of Hydride Transfer in Enzyme Catalysis

TL;DR: In this article, an elevated Swain−Schaad exponent for the secondary kinetic isotope effect in the hydride-transfer step catalyzed by liver alcohol dehydrogenase was found.
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Identifying unfolding intermediates of FN-III10 by steered molecular dynamics

TL;DR: Three forced unfolding pathways of FN-III(10), one of which is preferentially selected under physiological conditions are revealed, and implications for fibronectin fibrillogenesis are discussed.
References
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Journal ArticleDOI

Comparison of simple potential functions for simulating liquid water

TL;DR: In this article, the authors compared the Bernal Fowler (BF), SPC, ST2, TIPS2, TIP3P, and TIP4P potential functions for liquid water in the NPT ensemble at 25°C and 1 atm.
Journal ArticleDOI

Molecular dynamics with coupling to an external bath.

TL;DR: In this paper, a method is described to realize coupling to an external bath with constant temperature or pressure with adjustable time constants for the coupling, which can be easily extendable to other variables and to gradients, and can be applied also to polyatomic molecules involving internal constraints.
Book

Computer Simulation of Liquids

TL;DR: In this paper, the gear predictor -corrector is used to calculate forces and torques in a non-equilibrium molecular dynamics simulation using Monte Carlo methods. But it is not suitable for the gear prediction problem.
Journal ArticleDOI

Numerical Integration of the Cartesian Equations of Motion of a System with Constraints: Molecular Dynamics of n-Alkanes

TL;DR: In this paper, a numerical algorithm integrating the 3N Cartesian equations of motion of a system of N points subject to holonomic constraints is formulated, and the relations of constraint remain perfectly fulfilled at each step of the trajectory despite the approximate character of numerical integration.
Journal ArticleDOI

CHARMM: A program for macromolecular energy, minimization, and dynamics calculations

TL;DR: The CHARMM (Chemistry at Harvard Macromolecular Mechanics) as discussed by the authors is a computer program that uses empirical energy functions to model macromolescular systems, and it can read or model build structures, energy minimize them by first- or second-derivative techniques, perform a normal mode or molecular dynamics simulation, and analyze the structural, equilibrium, and dynamic properties determined in these calculations.
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