Development of Coarse-grained Force Field for Alcohols: an Efficient Meta-Multilinear Interpolation Parameterization Algorithm

2021 ◽  
Author(s):  
Mingwei Wan ◽  
Junjie Song ◽  
Ying Yang ◽  
Lianghui Gao ◽  
Wei-hai Fang
Keyword(s):  
Molecular Dynamics ◽  
Force Field ◽  
Force Fields ◽  
Coarse Grained

Coarse-grained (CG) molecular dynamics are powerful tools to access mesoscopic phenomenon and simultaneously record microscopic details, but currently the CG force fields (FFs) are still limited by low parameterization efficiency...

scholarly journals A new protein nucleic-acid coarse-grained force field based on the UNRES and NARES-2P force fields

2018 ◽  
Vol 39 (28) ◽  
pp. 2360-2370 ◽  
Author(s):  
Adam K. Sieradzan ◽  
Artur Giełdoń ◽  
Yanping Yin ◽  
Yi He ◽  
Harold A. Scheraga ◽  
...  
Keyword(s):  
Nucleic Acid ◽  
Force Field ◽  
Force Fields ◽  
Coarse Grained ◽  
Protein Nucleic Acid ◽  
New Protein

scholarly journals A Generic Force Field for Simulating Native Protein Structures Using Dissipative Particle Dynamics

Soft Matter ◽  
2021 ◽  
Author(s):  
Rakesh K Vaiwala ◽  
Ganapathy Ayappa
Keyword(s):  
Molecular Dynamics ◽  
Force Field ◽  
Molecular Dynamics Simulations ◽  
Dissipative Particle Dynamics ◽  
Protein Structures ◽  
Particle Dynamics ◽  
Coarse Grained ◽  
Native Protein ◽  
Dynamics Simulations

A coarse-grained force field for molecular dynamics simulations of native structures of proteins in a dissipative particle dynamics (DPD) framework is developed. The parameters for bonded interactions are derived by...

scholarly journals Molecular dynamics simulations of cholesterol-rich membranes using a coarse-grained force field for cyclic alkanes

2015 ◽  
Vol 143 (24) ◽  
pp. 243144 ◽  
Author(s):  
Christopher M. MacDermaid ◽  
Hemant K. Kashyap ◽  
Russell H. DeVane ◽  
Wataru Shinoda ◽  
Jeffery B. Klauda ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Force Field ◽  
Molecular Dynamics Simulations ◽  
Coarse Grained ◽  
Cyclic Alkanes ◽  
Dynamics Simulations

scholarly journals Refining amino acid hydrophobicity for dynamics simulation of membrane proteins

2017 ◽  
Author(s):  
Ronald D Hills, Jr
Keyword(s):  
Molecular Dynamics ◽  
Membrane Proteins ◽  
Force Field ◽  
Molecular Dynamics Simulations ◽  
Dynamics Simulation ◽  
Coarse Grained ◽  
Interfacial Behavior ◽  
Potentials Of Mean Force ◽  
Arginine Residues ◽  
Dynamics Simulations

Coarse-grained simulations enable the study of membrane proteins in the context of their native environment but require reliable parameters. The CgProt force field is assessed by comparing the potentials of mean force for sidechain insertion in a DOPC bilayer to results reported for atomistic molecular dynamics simulations. The reassignment of polar sidechain sites was found to improve the attractive interfacial behavior of tyrosine, phenylalanine and asparagine as well as charged lysine and arginine residues. The solvation energy at membrane depths of 0, 1.3 and 1.7 nm correlate with experimental partition coefficients in aqueous mixtures of cyclohexane, octanol and POPC, respectively, for sidechain analogs and Wimley-White peptides. These data points can be used to further discriminate between alternate force field parameters. Available partitioning data was also used to reparameterize the representation of the polar peptide backbone for non-alanine residues. The newly developed force field, CgProt 2.4, correctly predicts the global energy minimum in the potentials of mean force for insertion of the uncharged membrane-associated peptides LS3 and WALP23. CgProt will find application in molecular dynamics simulations of a variety of membrane protein systems.

scholarly journals Different force fields give rise to different amyloid aggregation pathways in molecular dynamics simulations

2020 ◽  
Author(s):  
Suman Samantray ◽  
Feng Yin ◽  
Batuhan Kav ◽  
Birgit Strodel
Keyword(s):  
Molecular Dynamics ◽  
Force Field ◽  
Intrinsically Disordered Proteins ◽  
Force Fields ◽  
Md Simulations ◽  
Peptide Sequence ◽  
Disordered Proteins ◽  
Test Case ◽  
Peptide Aggregation ◽  
Intrinsically Disordered

AbstractThe progress towards understanding the molecular basis of Alzheimers’s disease is strongly connected to elucidating the early aggregation events of the amyloid-β (Aβ) peptide. Molecular dynamics (MD) simulations provide a viable technique to study the aggregation of Aβ into oligomers with high spatial and temporal resolution. However, the results of an MD simulation can only be as good as the underlying force field. A recent study by our group showed that none of the force fields tested can distinguish between aggregation-prone and non-aggregating peptide sequences, producing the same and in most cases too fast aggregation kinetics for all peptides. Since then, new force fields specially designed for intrinsically disordered proteins such as Aβ were developed. Here, we assess the applicability of these new force fields to studying peptide aggregation using the Aβ16−22 peptide and mutations of it as test case. We investigate their performance in modeling the monomeric state, the aggregation into oligomers, and the stability of the aggregation end product, i.e., the fibrillar state. A main finding is that changing the force field has a stronger effect on the simulated aggregation pathway than changing the peptide sequence. Also the new force fields are not able to reproduce the experimental aggregation propensity order of the peptides. Dissecting the various energy contributions shows that AMBER99SB-disp overestimates the interactions between the peptides and water, thereby inhibiting peptide aggregation. More promising results are obtained with CHARMM36m and especially its version with increased protein–water interactions. It is thus recommended to use this force field for peptide aggregation simulations and base future reparameterizations on it.

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