A novel approach to simulate simple protein–ligand systems at large time and length scales is to couple Markov state models (MSMs) of molecular kinetics with particle-based reaction-diffusion (RD) simulations, MSM/RD. Currently, MSM/RD lacks a mathematical framework to derive coupling schemes, is limited to isotropic ligands in a single conformational state, and lacks multiparticle extensions. In this work, we address these needs by developing a general MSM/RD framework by coarse-graining molecular dynamics into hybrid switching diffusion processes. Given enough data to parameterize the model, it is capable of modeling protein–protein interactions over large time and length scales, and it can be extended to handle multiple molecules. We der...
A rigorous formalism for the extraction of state-to-state transition functions from a Boltzmann-weig...
In this thesis, the aim is to contribute to the development of long-time methods for molecular dynam...
This work presents a molecular-scale agent-based model for the simulationof enzymatic reactions at e...
A novel approach to simulate simple protein-ligand systems at large time and length scales is to cou...
Molecular dynamics (MD) simulations can model the interactions between macromolecules with high spat...
Molecular recognition, the process by which biological macromolecules selectively bind, plays an imp...
With recent advances in structural biology, including experi-mental techniques and deep learning-ena...
Conformational changes of proteins are an*Author contributed equally with all other contributors. es...
ABSTRACT: Owing to recent developments in computational algorithms and architectures, it is now comp...
This dissertation presents three research projects on novel methods in computational bio- physics. E...
Understanding the kinetic behavior of complex systems is crucial for the study of physical, chemical...
Abstract Background Simulation methods can assist in describing and understanding complex networks o...
Open biochemical systems of interacting molecules are ubiquitous in life-related processes. However,...
My work focuses on gaining a deeper understanding on the catalytic mechanism of enzymes and reaction...
Diffusion is a phenomenon of very widespread importance in molecular biophysics. Diffusion can deter...
A rigorous formalism for the extraction of state-to-state transition functions from a Boltzmann-weig...
In this thesis, the aim is to contribute to the development of long-time methods for molecular dynam...
This work presents a molecular-scale agent-based model for the simulationof enzymatic reactions at e...
A novel approach to simulate simple protein-ligand systems at large time and length scales is to cou...
Molecular dynamics (MD) simulations can model the interactions between macromolecules with high spat...
Molecular recognition, the process by which biological macromolecules selectively bind, plays an imp...
With recent advances in structural biology, including experi-mental techniques and deep learning-ena...
Conformational changes of proteins are an*Author contributed equally with all other contributors. es...
ABSTRACT: Owing to recent developments in computational algorithms and architectures, it is now comp...
This dissertation presents three research projects on novel methods in computational bio- physics. E...
Understanding the kinetic behavior of complex systems is crucial for the study of physical, chemical...
Abstract Background Simulation methods can assist in describing and understanding complex networks o...
Open biochemical systems of interacting molecules are ubiquitous in life-related processes. However,...
My work focuses on gaining a deeper understanding on the catalytic mechanism of enzymes and reaction...
Diffusion is a phenomenon of very widespread importance in molecular biophysics. Diffusion can deter...
A rigorous formalism for the extraction of state-to-state transition functions from a Boltzmann-weig...
In this thesis, the aim is to contribute to the development of long-time methods for molecular dynam...
This work presents a molecular-scale agent-based model for the simulationof enzymatic reactions at e...