From conformational studies to atomistic descriptions of enzymatic reactions, potential and free energy landscapes can be used to describe biomolecular systems in detail. However, extracting the relevant data of complex 3D energy surfaces can sometimes be laborious. In this article, we present MEPSA (Minimum Energy Path Surface Analysis), a cross-platform user friendly tool for the analysis of energy landscapes from a transition state theory perspective. Some of its most relevant features are: identification of all the barriers and minima of the landscape at once, description of maxima edge profiles, detection of the lowest energy path connecting two minima and generation of transition state theory diagrams along these paths. In addition to...
Recent advances in the potential energy landscapes approach are highlighted, including both theoreti...
Machine learning techniques are being increasingly used as flexible non-linear fitting and predictio...
Understanding how and why a protein folds to a well defined structure would be a great scientific ad...
Summary: Understanding biophysical phenomena from the approach of molecular simulation is becoming ...
In this paper, we give a review of recent transition path search methods for nanoscale phase transit...
An analysis of the network defined by the potential energy minima of multi-atomic systems and their ...
This paper describes our approach that is built upon the potential energy surface (PES)-based confor...
We present an efficient algorithm for calculating the minimum energy path (MEP) and energy barriers ...
International audienceSampling the Minimum Energy Path (MEP) between two minima of a system is often...
The potential energy landscape perspective provides both a conceptual and a computational framework ...
XGEFES 2018 Meeting, https://gefes2018.org/In condensed matter physics and theoretical chemistry one...
A protocol for calculating free energy landscapes (FELs) is proposed based on a combination of two c...
The free energy profile of a reaction can be estimated in a molecular dynamic (MD) approach by impos...
Abstract—In the last few decades, identification of the transition states has experienced significan...
The minimum energy path (MEP) is the most probable transition path that connects two equilibrium sta...
Recent advances in the potential energy landscapes approach are highlighted, including both theoreti...
Machine learning techniques are being increasingly used as flexible non-linear fitting and predictio...
Understanding how and why a protein folds to a well defined structure would be a great scientific ad...
Summary: Understanding biophysical phenomena from the approach of molecular simulation is becoming ...
In this paper, we give a review of recent transition path search methods for nanoscale phase transit...
An analysis of the network defined by the potential energy minima of multi-atomic systems and their ...
This paper describes our approach that is built upon the potential energy surface (PES)-based confor...
We present an efficient algorithm for calculating the minimum energy path (MEP) and energy barriers ...
International audienceSampling the Minimum Energy Path (MEP) between two minima of a system is often...
The potential energy landscape perspective provides both a conceptual and a computational framework ...
XGEFES 2018 Meeting, https://gefes2018.org/In condensed matter physics and theoretical chemistry one...
A protocol for calculating free energy landscapes (FELs) is proposed based on a combination of two c...
The free energy profile of a reaction can be estimated in a molecular dynamic (MD) approach by impos...
Abstract—In the last few decades, identification of the transition states has experienced significan...
The minimum energy path (MEP) is the most probable transition path that connects two equilibrium sta...
Recent advances in the potential energy landscapes approach are highlighted, including both theoreti...
Machine learning techniques are being increasingly used as flexible non-linear fitting and predictio...
Understanding how and why a protein folds to a well defined structure would be a great scientific ad...