Literature DB >> 27775349

Coarse-Grained Simulations of Membrane Insertion and Folding of Small Helical Proteins Using the CABS Model.

Wojciech Pulawski1, Michal Jamroz1, Michal Kolinski2, Andrzej Kolinski1, Sebastian Kmiecik1.   

Abstract

The CABS coarse-grained model is a well-established tool for modeling globular proteins (predicting their structure, dynamics, and interactions). Here we introduce an extension of the CABS representation and force field (CABS-membrane) to the modeling of the effect of the biological membrane environment on the structure of membrane proteins. We validate the CABS-membrane model in folding simulations of 10 short helical membrane proteins not using any knowledge about their structure. The simulations start from random protein conformations placed outside the membrane environment and allow for full flexibility of the modeled proteins during their spontaneous insertion into the membrane. In the resulting trajectories, we have found models close to the experimental membrane structures. We also attempted to select the correctly folded models using simple filtering followed by structural clustering combined with reconstruction to the all-atom representation and all-atom scoring. The CABS-membrane model is a promising approach for further development toward modeling of large protein-membrane systems.

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Year:  2016        PMID: 27775349     DOI: 10.1021/acs.jcim.6b00350

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  7 in total

1.  Flexible docking of peptides to proteins using CABS-dock.

Authors:  Mateusz Kurcinski; Aleksandra Badaczewska-Dawid; Michal Kolinski; Andrzej Kolinski; Sebastian Kmiecik
Journal:  Protein Sci       Date:  2019-11-11       Impact factor: 6.725

Review 2.  Modeling of Protein Structural Flexibility and Large-Scale Dynamics: Coarse-Grained Simulations and Elastic Network Models.

Authors:  Sebastian Kmiecik; Maksim Kouza; Aleksandra E Badaczewska-Dawid; Andrzej Kloczkowski; Andrzej Kolinski
Journal:  Int J Mol Sci       Date:  2018-11-06       Impact factor: 5.923

3.  Multiscale Modeling of Amyloid Fibrils Formed by Aggregating Peptides Derived from the Amyloidogenic Fragment of the A-Chain of Insulin.

Authors:  Michał Koliński; Robert Dec; Wojciech Dzwolak
Journal:  Int J Mol Sci       Date:  2021-11-15       Impact factor: 5.923

Review 4.  Computational models for studying physical instabilities in high concentration biotherapeutic formulations.

Authors:  Marco A Blanco
Journal:  MAbs       Date:  2022 Jan-Dec       Impact factor: 5.857

5.  Refining amino acid hydrophobicity for dynamics simulation of membrane proteins.

Authors:  Ronald D Hills
Journal:  PeerJ       Date:  2018-01-10       Impact factor: 2.984

Review 6.  Modeling of Disordered Protein Structures Using Monte Carlo Simulations and Knowledge-Based Statistical Force Fields.

Authors:  Maciej Pawel Ciemny; Aleksandra Elzbieta Badaczewska-Dawid; Monika Pikuzinska; Andrzej Kolinski; Sebastian Kmiecik
Journal:  Int J Mol Sci       Date:  2019-01-31       Impact factor: 5.923

7.  Sampling of the conformational landscape of small proteins with Monte Carlo methods.

Authors:  Nana Heilmann; Moritz Wolf; Mariana Kozlowska; Elaheh Sedghamiz; Julia Setzler; Martin Brieg; Wolfgang Wenzel
Journal:  Sci Rep       Date:  2020-10-23       Impact factor: 4.379

  7 in total

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