Molecular dynamics (MD) simulations allow the investigation of the structural dynamics of biomolecular systems with unrivaled time and space resolution. However, in order to compensate for the inaccuracies of the utilized empirical force fields, it is becoming common to integrate MD simulations with experimental data obtained from ensemble measurements. We review here the approaches that can be used to combine MD and experiment under the guidance of the maximum entropy principle. We mostly focus on methods based on Lagrangian multipliers, either implemented as reweighting of existing simulations or through an on-the-fly optimization. We discuss how errors in the experimental data can be modeled and accounted for. Finally, we use simple mode...
Molecular simulation is increasingly used in many theoretical as well applicative fields in both Lif...
Machine learning (ML) has emerged as a pervasive tool in science, engineering, and beyond. Its succe...
All-atom Molecular Dynamics (MD) is the standard approach to perform in silico simulations of biomol...
Molecular dynamics (MD) simulations allow the investigation of the structural dynamics of biomolecul...
Molecular dynamics (MD) simulations allow the investigation of the structural dynamics of biomolecul...
Molecular dynamics (MD) simulations in explicit solvent are nowadays a fundamental tool used to comp...
Abstract: A key component of computational biology is to com-pare the results of computer mod-elling...
Inferential methods can be used to integrate experimental informations and molecular simulations. Th...
In order to characterise the dynamics of proteins, a well-established method is to incorporate exper...
Recent computational efforts have shown that the current potential energy models used in molecular d...
RNA structure and dynamics play a fundamental role in many cellular processes such as gene expressio...
AbstractWe introduce an enhanced-sampling method for molecular dynamics (MD) simulations referred to...
Ensemble refinement produces structural ensembles of flexible and dynamic biomolecules by integratin...
The flexible and dynamic nature of biomolecules and biomolecular complexes is essential for many cel...
Maximum entropy methods (MEMs) determine posterior distributions by combining experimental data with...
Molecular simulation is increasingly used in many theoretical as well applicative fields in both Lif...
Machine learning (ML) has emerged as a pervasive tool in science, engineering, and beyond. Its succe...
All-atom Molecular Dynamics (MD) is the standard approach to perform in silico simulations of biomol...
Molecular dynamics (MD) simulations allow the investigation of the structural dynamics of biomolecul...
Molecular dynamics (MD) simulations allow the investigation of the structural dynamics of biomolecul...
Molecular dynamics (MD) simulations in explicit solvent are nowadays a fundamental tool used to comp...
Abstract: A key component of computational biology is to com-pare the results of computer mod-elling...
Inferential methods can be used to integrate experimental informations and molecular simulations. Th...
In order to characterise the dynamics of proteins, a well-established method is to incorporate exper...
Recent computational efforts have shown that the current potential energy models used in molecular d...
RNA structure and dynamics play a fundamental role in many cellular processes such as gene expressio...
AbstractWe introduce an enhanced-sampling method for molecular dynamics (MD) simulations referred to...
Ensemble refinement produces structural ensembles of flexible and dynamic biomolecules by integratin...
The flexible and dynamic nature of biomolecules and biomolecular complexes is essential for many cel...
Maximum entropy methods (MEMs) determine posterior distributions by combining experimental data with...
Molecular simulation is increasingly used in many theoretical as well applicative fields in both Lif...
Machine learning (ML) has emerged as a pervasive tool in science, engineering, and beyond. Its succe...
All-atom Molecular Dynamics (MD) is the standard approach to perform in silico simulations of biomol...