Literature DB >> 22429139

Conformational sampling of peptides in the presence of protein crowders from AA/CG-multiscale simulations.

Alexander V Predeus1, Seref Gul, Srinivasa M Gopal, Michael Feig.   

Abstract

Macromolecular crowding is recognized as an important factor influencing folding and conformational dynamics of proteins and nucleic acids. Previous views of crowding have focused on the mostly entropic volume exclusion effect of crowding, but recent studies are indicating the importance of enthalpic effects, in particular, changes in electrostatic interactions due to crowding. Here, temperature replica exchange molecular dynamics simulations of trp-cage and melittin in the presence of explicit protein crowders are presented to further examine the effect of protein crowders on peptide dynamics. The simulations involve a three-component multiscale modeling scheme where the peptides are represented at an atomistic level, the crowder proteins at a coarse-grained level, and the surrounding aqueous solvent as implicit solvent. This scheme optimally balances a physically realistic description for the peptide with computational efficiency. The multiscale simulations were compared with simulations of the same peptides in different dielectric environments with dielectric constants ranging from 5 to 80. It is found that the sampling in the presence of the crowders resembles sampling with reduced dielectric constants between 10 and 40. Furthermore, diverse conformational ensembles are generated in the presence of crowders including partially unfolded states for trp-cage. These findings emphasize the importance of enthalpic interactions over volume exclusion effects in describing the effects of cellular crowding.

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Year:  2012        PMID: 22429139      PMCID: PMC3398202          DOI: 10.1021/jp300129u

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  78 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2008-11-12       Impact factor: 11.205

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  25 in total

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8.  Soft Interactions with Model Crowders and Non-canonical Interactions with Cellular Proteins Stabilize RNA Folding.

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9.  Predicting Molecular Crowding Effects in Ion-RNA Interactions.

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Journal:  J Phys Chem B       Date:  2016-08-12       Impact factor: 2.991

Review 10.  Where soft matter meets living matter--protein structure, stability, and folding in the cell.

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