scholarly journals Coarse-graining auto-encoders for molecular dynamics

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Wujie Wang ◽  
Rafael Gómez-Bombarelli
Keyword(s):  
Molecular Dynamics ◽  
Coarse Graining ◽  
Computational Design ◽  
Model Systems ◽  
Coarse Grained ◽  
Modeling Framework ◽  
Predictive Tool ◽  
Reduced Representation ◽  
Spatial And Temporal Scales ◽  
Dynamics Simulations

AbstractMolecular dynamics simulations provide theoretical insight into the microscopic behavior of condensed-phase materials and, as a predictive tool, enable computational design of new compounds. However, because of the large spatial and temporal scales of thermodynamic and kinetic phenomena in materials, atomistic simulations are often computationally infeasible. Coarse-graining methods allow larger systems to be simulated by reducing their dimensionality, propagating longer timesteps, and averaging out fast motions. Coarse-graining involves two coupled learning problems: defining the mapping from an all-atom representation to a reduced representation, and parameterizing a Hamiltonian over coarse-grained coordinates. We propose a generative modeling framework based on variational auto-encoders to unify the tasks of learning discrete coarse-grained variables, decoding back to atomistic detail, and parameterizing coarse-grained force fields. The framework is tested on a number of model systems including single molecules and bulk-phase periodic simulations.

scholarly journals Coarse-graining molecular dynamics: stochastic models with non-Gaussian force distributions

2019 ◽  
Vol 80 (1-2) ◽  
pp. 457-479 ◽  
Author(s):  
Radek Erban
Keyword(s):  
Molecular Dynamics ◽  
Linear Models ◽  
Coarse Graining ◽  
Md Simulations ◽  
Coarse Grained ◽  
Spatial And Temporal Scales ◽  
Coarse Grained Model ◽  
Non Gaussian ◽  
Low Dimensional ◽  
Cellular Behaviour

Abstract Incorporating atomistic and molecular information into models of cellular behaviour is challenging because of a vast separation of spatial and temporal scales between processes happening at the atomic and cellular levels. Multiscale or multi-resolution methodologies address this difficulty by using molecular dynamics (MD) and coarse-grained models in different parts of the cell. Their applicability depends on the accuracy and properties of the coarse-grained model which approximates the detailed MD description. A family of stochastic coarse-grained (SCG) models, written as relatively low-dimensional systems of nonlinear stochastic differential equations, is presented. The nonlinear SCG model incorporates the non-Gaussian force distribution which is observed in MD simulations and which cannot be described by linear models. It is shown that the nonlinearities can be chosen in such a way that they do not complicate parametrization of the SCG description by detailed MD simulations. The solution of the SCG model is found in terms of gamma functions.

scholarly journals Coarse Graining Nonisothermal Microswimmer Suspensions

2021 ◽  
Vol 9 ◽  
Author(s):  
Sven Auschra ◽  
Dipanjan Chakraborty ◽  
Gianmaria Falasco ◽  
Richard Pfaller ◽  
Klaus Kroy
Keyword(s):  
Molecular Dynamics ◽  
Temperature Field ◽  
Coarse Graining ◽  
The Self ◽  
Coarse Grained ◽  
Hydrodynamic Description ◽  
Homogeneous Complex ◽  
Complex Fluid ◽  
Position And Orientation ◽  
Dynamics Simulations

We investigate coarse-grained models of suspended self-thermophoretic microswimmers. Upon heating, the Janus spheres, with hemispheres made of different materials, induce a heterogeneous local solvent temperature that causes the self-phoretic particle propulsion. Starting from molecular dynamics simulations that schematically resolve the molecular composition of the solvent and the microswimmer, we verify the coarse-grained description of the fluid in terms of a local molecular temperature field, and its role for the particle’s thermophoretic self-propulsion and hot Brownian motion. The latter is governed by effective nonequilibrium temperatures, which are measured from simulations by confining the particle position and orientation. They are theoretically shown to remain relevant for any further spatial coarse-graining towards a hydrodynamic description of the entire suspension as a homogeneous complex fluid.

Parameterization of Divalent Cations for Coarse-Grained Simulations

2020 ◽  
Author(s):  
Florencia Klein ◽  
Daniela Cáceres-Rojas ◽  
Monica Carrasco ◽  
Juan Carlos Tapia ◽  
Julio Caballero ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Metal Ions ◽  
Molecular Dynamics Simulations ◽  
Divalent Cations ◽  
Computational Cost ◽  
Data Bank ◽  
Coarse Grained ◽  
Interaction Parameters ◽  
Dynamics Simulations ◽  
Dynamical Description

<p>Although molecular dynamics simulations allow for the study of interactions among virtually all biomolecular entities, metal ions still pose significant challenges to achieve an accurate structural and dynamical description of many biological assemblies. This is particularly the case for coarse-grained (CG) models. Although the reduced computational cost of CG methods often makes them the technique of choice for the study of large biomolecular systems, the parameterization of metal ions is still very crude or simply not available for the vast majority of CG- force fields. Here, we show that incorporating statistical data retrieved from the Protein Data Bank (PDB) to set specific Lennard-Jones interactions can produce structurally accurate CG molecular dynamics simulations. Using this simple approach, we provide a set of interaction parameters for Calcium, Magnesium, and Zinc ions, which cover more than 80% of the metal-bound structures reported on the PDB. Simulations performed using the SIRAH force field on several proteins and DNA systems show that using the present approach it is possible to obtain non-bonded interaction parameters that obviate the use of topological constraints. </p>

scholarly journals Computational Design of Macrocyclic Binders of S100B(ββ): Novel Peptide Theranostics

Molecules ◽  
2021 ◽  
Vol 26 (3) ◽  
pp. 721
Author(s):  
Srinivasaraghavan Kannan ◽  
Pietro G. A. Aronica ◽  
Thanh Binh Nguyen ◽  
Jianguo Li ◽  
Chandra S. Verma
Keyword(s):  
Molecular Dynamics ◽  
Computational Design ◽  
Diagnostic Tools ◽  
Stapled Peptides ◽  
Altered Expression ◽  
Cellular Processes ◽  
High Affinity ◽  
Limited Success ◽  
Dynamics Simulations ◽  
Partner Proteins

S100B(ββ) proteins are a family of multifunctional proteins that are present in several tissues and regulate a wide variety of cellular processes. Their altered expression levels have been associated with several human diseases, such as cancer, inflammatory disorders and neurodegenerative conditions, and hence are of interest as a therapeutic target and a biomarker. Small molecule inhibitors of S100B(ββ) have achieved limited success. Guided by the wealth of available experimental structures of S100B(ββ) in complex with diverse peptides from various protein interacting partners, we combine comparative structural analysis and molecular dynamics simulations to design a series of peptides and their analogues (stapled) as S100B(ββ) binders. The stapled peptides were subject to in silico mutagenesis experiments, resulting in optimized analogues that are predicted to bind to S100B(ββ) with high affinity, and were also modified with imaging agents to serve as diagnostic tools. These stapled peptides can serve as theranostics, which can be used to not only diagnose the levels of S100B(ββ) but also to disrupt the interactions of S100B(ββ) with partner proteins which drive disease progression, thus serving as novel therapeutics.

scholarly journals Variation of Interaction Zone Size For The Target Design of 2D Supramolecular Networks

2021 ◽  
Author(s):  
Łukasz Piotr Baran ◽  
Wojciech Rżysko ◽  
Dariusz Tarasewicz
Keyword(s):  
Molecular Dynamics ◽  
Molecular Dynamics Simulations ◽  
Self Assembly ◽  
The Self ◽  
Coarse Grained ◽  
Zone Size ◽  
Interaction Zone ◽  
Supramolecular Networks ◽  
Dynamics Simulations ◽  
Target Design

In this study we have performed extensive coarse-grained molecular dynamics simulations of the self-assembly of tetra-substituted molecules. We have found that such molecules are able to form a variety of...

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