Evidence map›Paper›PMID 26505197›Full record

ArticlePLoS computational biology2015

Structural Refinement of Proteins by Restrained Molecular Dynamics Simulations with Non-interacting Molecular Fragments.

Rong Shen, Wei Han, Giacomo Fiorin, Shahidul M Islam, Klaus Schulten, Benoît Roux

Abstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Protein Modeling with DEER Spectroscopy.Annual review of biophysics · 2025
    Review
  4. Review
  5. Article
  6. Review
  7. Mechanism of voltage gating in the voltage-sensing phosphatase Ci-VSP.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  8. Assembly and Analysis of Cell-Scale Membrane Envelopes.Journal of chemical information and modeling · 2022
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. CHARMM-GUI 10 years for biomolecular modeling and simulation.Journal of computational chemistry · 2017
    Review
  15. Article
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

6 authors.

Rong ShenDepartment of Biochemistry and Molecular Biology, Gordon Center for Integrative Science, University of Chicago, Chicago, Illinois, United States of America.
Wei HanBeckman Institute, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.
Giacomo FiorinInstitute for Computational Molecular Science, Temple University, Philadelphia, Pennsylvania, United States of America.
Shahidul M IslamDepartment of Biochemistry and Molecular Biology, Gordon Center for Integrative Science, University of Chicago, Chicago, Illinois, United States of America.
Klaus SchultenBeckman Institute, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.
Benoît RouxDepartment of Biochemistry and Molecular Biology, Gordon Center for Integrative Science, University of Chicago, Chicago, Illinois, United States of America.

Funding

Synthetic Antigen Binder CoreU54GM087519 · NIGMS · UNIVERSITY OF CHICAGO · PI PEROZO, EDUARDO A · 2010 to 2017
$31.9M
WHOLE CELL SIMULATIONP41RR005969 · NCRR · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI STONE, JOHN H · 1990 to 2011
$19.8M
WHOLE CELL SIMULATIONP41GM104601 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI TAJKHORSHID, EMAD · 2012 to 2021
$19.0M
System-Level Simulation of a Bioenergetic MembraneR01GM067887 · NIGMS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI TAJKHORSHID, EMAD · 2003 to 2018
$4.0M
Beagle-2S10OD018495 · OD · UNIVERSITY OF CHICAGO · PI FOSTER, IAN · 2014 to 2014
$2.0M
NCRR NIH HHS P41 RR005969NCRR NIH HHS P41-RR005969NIGMS NIH HHS P41 GM104601NIGMS NIH HHS R01 GM067887NIGMS NIH HHS R01-GM067887NIGMS NIH HHS U54 GM087519NIGMS NIH HHS U54-GM087519NIH HHS 1S10OD018495NIH HHS S10 OD018495
6 · The paper itself

Abstract

The knowledge of multiple conformational states is a prerequisite to understand the function of membrane transport proteins. Unfortunately, the determination of detailed atomic structures for all these functionally important conformational states with conventional high-resolution approaches is often difficult and unsuccessful. In some cases, biophysical and biochemical approaches can provide important complementary structural information that can be exploited with the help of advanced computational methods to derive structural models of specific conformational states. In particular, functional and spectroscopic measurements in combination with site-directed mutations constitute one important source of information to obtain these mixed-resolution structural models. A very common problem with this strategy, however, is the difficulty to simultaneously integrate all the information from multiple independent experiments involving different mutations or chemical labels to derive a unique structural model consistent with the data. To resolve this issue, a novel restrained molecular dynamics structural refinement method is developed to simultaneously incorporate multiple experimentally determined constraints (e.g., engineered metal bridges or spin-labels), each treated as an individual molecular fragment with all atomic details. The internal structure of each of the molecular fragments is treated realistically, while there is no interaction between different molecular fragments to avoid unphysical steric clashes. The information from all the molecular fragments is exploited simultaneously to constrain the backbone to refine a three-dimensional model of the conformational state of the protein. The method is illustrated by refining the structure of the voltage-sensing domain (VSD) of the Kv1.2 potassium channel in the resting state and by exploring the distance histograms between spin-labels attached to T4 lysozyme. The resulting VSD structures are in good agreement with the consensus model of the resting state VSD and the spin-spin distance histograms from ESR/DEER experiments on T4 lysozyme are accurately reproduced.

Indexed as

AlgorithmsModels, ChemicalMolecular Dynamics SimulationMembrane Transport ProteinsProtein BindingProtein ConformationProtein Structure, TertiaryMembrane Transport Proteins

Identifiers

PMID26505197
PMCPMC4624691

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Registered trials

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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.