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Sampling enhancement by metadynamics driven by machine learning and de novo p...
Folding of villin miniprotein was studied by parallel tempering metadynamics driven by machine learning. To obtain a training set for machine learning, we generated a large... -
Approximation of Collective Variables by anncolvar
Biomolecular simulations are computationally expensive. This limits their application in drug or protein design and related fields. Several methods have been developed to... -
Making the best of a bad situation: a multiscale approach to free energy calc...
Many enhanced sampling techniques rely on the identification of a number of collective variables that describe all the slow modes of the system. By constructing a bias potential... -
Making the best of a bad situation: a multiscale approach to free energy calc...
Many enhanced sampling techniques rely on the identification of a number of collective variables that describe all the slow modes of the system. By constructing a bias potential... -
Impact of glutamate carboxylation in the adsorption of the alpha-1 domain of ...
This record contains files necessary to reproduce enhanced sampling well-tempered metadynamics (wtMTD) and parallel tempering metadynamics in the well-tempered ensemble... -
Free-Energy Surface Prediction by Flying Gaussian Method
Molecular simulations are computationally expensive, especially in systems with multiple free energy minima. To address this problem many enhanced sampling techniques have been... -
Temperature Dependence of Homogeneous Nucleation in Ice
Ice nucleation is a process of great relevance in physics, chemistry, technology, and environmental sciences; much theoretical effort has been devoted to its understanding, but... -
Making the best of a bad situation: a multiscale approach to free energy calc...
Many enhanced sampling techniques rely on the identification of a number of collective variables that describe all the slow modes of the system. By constructing a bias potential... -
Making the best of a bad situation: a multiscale approach to free energy calc...
Many enhanced sampling techniques rely on the identification of a number of collective variables that describe all the slow modes of the system. By constructing a bias potential... -
Sampling enhancement by metadynamics driven by machine learning and de novo p...
Folding of villin miniprotein was studied by parallel tempering metadynamics driven by machine learning. To obtain a training set for machine learning, we generated a large... -
Free-Energy Surface Prediction by Flying Gaussian Method: Numerical Proof
Biomolecular simulations have a great potential in protein engineering, drug discovery and many other fields. Unfortunately, this method is computationally expensive, so many... -
The reaction mechanism of the azide–alkyne Huisgen cycloaddition
In a recent publication we inspected the mechanism of the azide–alkyne Huisgen cycloaddition. We studied the dynamical aspects of the process using metadynamics computer... -
Impact of glutamate carboxylation in the adsorption of the alpha-1 domain of ...
One proposed mechanism of implant fouling is attributed to the nonspecific adsorption of non-collagenous bone matrix proteins (NCPs) onto a newly implanted interface. With the... -
Reducing the Number of Mean-Square Deviation Calculations with Floating Close...
Biomolecular simulations are computationally expensive. This limits their application in protein folding simulations, protein engineering, drug design and related fields.... -
Reducing the Number of Mean-Square Deviation Calculations with Floating Close...
Biomolecular simulations are computationally expensive. This limits their application in protein folding simulations, protein engineering, drug design and related fields.... -
Confinement effects and acid strength in Zeolites
Chemical reactivity and sorption in zeolites are coupled to confinement and - to a lesser extent- to the acid strength of Brønsted acid sites (BAS). In presence of water the... -
Sampling enhancement by metadynamics driven by machine learning and de novo p...
Folding of villin miniprotein was studied by parallel tempering metadynamics driven by machine learning. To obtain a training set for machine learning, we generated a large... -
Investigation of the dynamic nature of proteins with enhanced sampling techni...
In dieser Arbeit werden zwei Aspekte der dynamischen Natur von proteinen mit Hilfe von Enhanced Sampling Methoden untersucht. Zunächst wurden... -
Simulation of Long-Range Proton Transfer - Development and Application
Die archaeale Protonenpumpe Bacteriorhodopsin nutzt Sonnenlicht um einen Protonengradienten über der Zellmembran aufzubauen. Der Mechanismus der Energieumwandlung basiert auf... -
Structural transitions of calcium carbonate by molecular dynamics simulation
Calcium carbonate (CaCO₃) plays a crucial role in the global carbon cycle, and its phase diagram is of significant scientific interest. We used molecular dynamics to investigate...