Evidence map›Paper›PMID 30404229›Full record

ReviewInternational journal of molecular sciences2018

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

Sebastian Kmiecik, Maksim Kouza, Aleksandra E Badaczewska-Dawid, Andrzej Kloczkowski, Andrzej Kolinski

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed.

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  13. Beyond sequence: Structure-based machine learning.Computational and structural biotechnology journal · 2023
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sebastian KmiecikFaculty of Chemistry, Biological and Chemical Research Center, University of Warsaw, Pasteura 1, 02-093 Warsaw, Poland. sekmi@chem.uw.edu.pl.
Maksim KouzaFaculty of Chemistry, Biological and Chemical Research Center, University of Warsaw, Pasteura 1, 02-093 Warsaw, Poland. mkouza@chem.edu.uw.pl.ORCID 0000-0002-1704-9797
Aleksandra E Badaczewska-DawidFaculty of Chemistry, Biological and Chemical Research Center, University of Warsaw, Pasteura 1, 02-093 Warsaw, Poland. adawid@chem.uw.edu.pl.
Andrzej KloczkowskiNationwide Children's Hospital, Columbus, OH 43205, USA. Andrzej.Kloczkowski@nationwidechildrens.org.
Andrzej KolinskiFaculty of Chemistry, Biological and Chemical Research Center, University of Warsaw, Pasteura 1, 02-093 Warsaw, Poland. kolinski@chem.uw.edu.pl.ORCID 0000-0002-8830-2315

Funding

Narodowe Centrum Nauki MAESTRO2014/14/A/ST6/00088Polish Ministry of Science and Higher Education 1287/MOB/IV/2015/0
6 · The paper itself

Abstract

Fluctuations of protein three-dimensional structures and large-scale conformational transitions are crucial for the biological function of proteins and their complexes. Experimental studies of such phenomena remain very challenging and therefore molecular modeling can be a good alternative or a valuable supporting tool for the investigation of large molecular systems and long-time events. In this minireview, we present two alternative approaches to the coarse-grained (CG) modeling of dynamic properties of protein systems. We discuss two CG representations of polypeptide chains used for Monte Carlo dynamics simulations of protein local dynamics and conformational transitions, and highly simplified structure-based elastic network models of protein flexibility. In contrast to classical all-atom molecular dynamics, the modeling strategies discussed here allow the quite accurate modeling of much larger systems and longer-time dynamic phenomena. We briefly describe the main features of these models and outline some of their applications, including modeling of near-native structure fluctuations, sampling of large regions of the protein conformational space, or possible support for the structure prediction of large proteins and their complexes.

Indexed as

Models, MolecularProtein ConformationMolecular Dynamics SimulationMonte Carlo MethodPeptidesProteinsPeptidesProteinscoarse-grained simulationelastic network modellarge-scale dynamicsMonte Carlo dynamicsprotein dynamicsstructural flexibility

Identifiers

PMID30404229
PMCPMC6274762

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.