Literature DB >> 19280017

Self-assembling dipeptides: including solvent degrees of freedom in a coarse-grained model.

Alessandra Villa1, Nico F A van der Vegt, Christine Peter.   

Abstract

In the previous paper [A. Villa, C. Peter, N. F. A. van der Vegt, Phys. Chem. Chem. Phys., 2009, DOI: ], a strategy to develop a solvent-free coarse-grained model for peptides is outlined which is based on an atomistic (force field) description. The coarse-grained model is designed such that it correctly captures the conformational flexibility of the molecules and reproduces the interaction between peptides in aqueous solution. In the present paper, we revisit this model and present a method to devise nonbonded interactions such that also the coarse-grained level maintains explicit solvent degrees of freedom. In this new approach we rely on a structure-based coarse graining methodology which preserves the solvation structure around the peptides in combination with a method to devise nonbonded potentials between peptide beads in a way that the peptide-peptide interaction in water is represented correctly and that results in the correct thermodynamic association behavior. The outlined coarse graining strategy provides us with two (one implicit- and one explicit-solvent) models that are well suited for multiscale-simulation and scale-bridging purposes. We show that this is a powerful tool to efficiently simulate long time-scale and large length-scale biomolecular processes such as peptide self-assembly. In combination with an efficient backmapping methodology we can obtain well-equilibrated atomistic structures of the resulting aggregates.

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Year:  2009        PMID: 19280017     DOI: 10.1039/b818146m

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  8 in total

1.  Molecular modeling and computational study of the chiral-dependent structures and properties of self-assembling diphenylalanine peptide nanotubes.

Authors:  Vladimir S Bystrov; Pavel S Zelenovskiy; Alla S Nuraeva; Svitlana Kopyl; Olga A Zhulyabina; Vsevolod A Tverdislov
Journal:  J Mol Model       Date:  2019-06-25       Impact factor: 1.810

2.  Reduced atomic pair-interaction design (RAPID) model for simulations of proteins.

Authors:  Boris Ni; Andrij Baumketner
Journal:  J Chem Phys       Date:  2013-02-14       Impact factor: 3.488

3.  Predicting the DNA sequence dependence of nanopore ion current using atomic-resolution Brownian dynamics.

Authors:  Jeffrey Comer; Aleksei Aksimentiev
Journal:  J Phys Chem C Nanomater Interfaces       Date:  2012-01-09       Impact factor: 4.126

4.  Multiscale coarse-graining of the protein energy landscape.

Authors:  Ronald D Hills; Lanyuan Lu; Gregory A Voth
Journal:  PLoS Comput Biol       Date:  2010-06-24       Impact factor: 4.475

Review 5.  Molecular simulations of peptide amphiphiles.

Authors:  Anjela Manandhar; Myungshim Kang; Kaushik Chakraborty; Phu K Tang; Sharon M Loverde
Journal:  Org Biomol Chem       Date:  2017-10-04       Impact factor: 3.876

6.  Conformational dynamics and aggregation behavior of piezoelectric diphenylalanine peptides in an external electric field.

Authors:  Catherine M Kelly; Thomas Northey; Kate Ryan; Bernard R Brooks; Andrei L Kholkin; Brian J Rodriguez; Nicolae-Viorel Buchete
Journal:  Biophys Chem       Date:  2014-09-07       Impact factor: 2.352

7.  Virtual Screening for Dipeptide Aggregation: Toward Predictive Tools for Peptide Self-Assembly.

Authors:  Pim W J M Frederix; Rein V Ulijn; Neil T Hunt; Tell Tuttle
Journal:  J Phys Chem Lett       Date:  2011-09-02       Impact factor: 6.475

Review 8.  Molecular simulations of self-assembling bio-inspired supramolecular systems and their connection to experiments.

Authors:  Pim W J M Frederix; Ilias Patmanidis; Siewert J Marrink
Journal:  Chem Soc Rev       Date:  2018-05-21       Impact factor: 54.564

  8 in total

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