Literature DB >> 26575570

Free energy surface of an intrinsically disordered protein: comparison between temperature replica exchange molecular dynamics and bias-exchange metadynamics.

Gül H Zerze1, Cayla M Miller1, Daniele Granata2, Jeetain Mittal1.   

Abstract

Intrinsically disordered proteins (IDPs), which are expected to be largely unstructured under physiological conditions, make up a large fraction of eukaryotic proteins. Molecular dynamics simulations have been utilized to probe structural characteristics of these proteins, which are not always easily accessible to experiments. However, exploration of the conformational space by brute force molecular dynamics simulations is often limited by short time scales. Present literature provides a number of enhanced sampling methods to explore protein conformational space in molecular simulations more efficiently. In this work, we present a comparison of two enhanced sampling methods: temperature replica exchange molecular dynamics and bias exchange metadynamics. By investigating both the free energy landscape as a function of pertinent order parameters and the per-residue secondary structures of an IDP, namely, human islet amyloid polypeptide, we found that the two methods yield similar results as expected. We also highlight the practical difference between the two methods by describing the path that we followed to obtain both sets of data.

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Year:  2015        PMID: 26575570     DOI: 10.1021/acs.jctc.5b00047

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  21 in total

1.  A Unified De Novo Approach for Predicting the Structures of Ordered and Disordered Proteins.

Authors:  John J Ferrie; E James Petersson
Journal:  J Phys Chem B       Date:  2020-06-11       Impact factor: 2.991

2.  Temperature-induced collapse of a disordered peptide observed by three sampling methods in molecular dynamics simulations.

Authors:  Alan Hicks; Huan-Xiang Zhou
Journal:  J Chem Phys       Date:  2018-08-21       Impact factor: 3.488

3.  Protein Composition Determines the Effect of Crowding on the Properties of Disordered Proteins.

Authors:  Cayla M Miller; Young C Kim; Jeetain Mittal
Journal:  Biophys J       Date:  2016-07-12       Impact factor: 4.033

4.  Generation of the configurational ensemble of an intrinsically disordered protein from unbiased molecular dynamics simulation.

Authors:  Utsab R Shrestha; Puneet Juneja; Qiu Zhang; Viswanathan Gurumoorthy; Jose M Borreguero; Volker Urban; Xiaolin Cheng; Sai Venkatesh Pingali; Jeremy C Smith; Hugh M O'Neill; Loukas Petridis
Journal:  Proc Natl Acad Sci U S A       Date:  2019-09-23       Impact factor: 11.205

5.  An Efficient Method for Estimating the Hydrodynamic Radius of Disordered Protein Conformations.

Authors:  Mads Nygaard; Birthe B Kragelund; Elena Papaleo; Kresten Lindorff-Larsen
Journal:  Biophys J       Date:  2017-08-08       Impact factor: 4.033

6.  Computational modeling highlights the role of the disordered Formin Homology 1 domain in profilin-actin transfer.

Authors:  Brandon G Horan; Gül H Zerze; Young C Kim; Dimitrios Vavylonis; Jeetain Mittal
Journal:  FEBS Lett       Date:  2018-05-24       Impact factor: 4.124

7.  Modeling the Structure and Interactions of Intrinsically Disordered Peptides with Multiple Replica, Metadynamics-Based Sampling Methods and Force-Field Combinations.

Authors:  Lunna Li; Tommaso Casalini; Paolo Arosio; Matteo Salvalaglio
Journal:  J Chem Theory Comput       Date:  2022-02-17       Impact factor: 6.578

Review 8.  Phase separation in biology; functional organization of a higher order.

Authors:  Diana M Mitrea; Richard W Kriwacki
Journal:  Cell Commun Signal       Date:  2016-01-05       Impact factor: 5.712

Review 9.  Analytical methods for structural ensembles and dynamics of intrinsically disordered proteins.

Authors:  Marieke Schor; Antonia S J S Mey; Cait E MacPhee
Journal:  Biophys Rev       Date:  2016-11-22

Review 10.  Binding Mechanisms of Intrinsically Disordered Proteins: Theory, Simulation, and Experiment.

Authors:  Luca Mollica; Luiza M Bessa; Xavier Hanoulle; Malene Ringkjøbing Jensen; Martin Blackledge; Robert Schneider
Journal:  Front Mol Biosci       Date:  2016-09-09
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