Evidence map›Paper›PMID 21297978›Full record

ArticlePloS one2011

Discovering conformational sub-states relevant to protein function.

Arvind Ramanathan, Andrej J Savol, Christopher J Langmead, Pratul K Agarwal, Chakra S Chennubhotla

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
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

37 citing papers in PubMed, 74 citations in OpenAlex.

  1. Asymmetric Dynamics Between the Protomers of the σ2 Receptor Homodimer.Journal of chemical information and modeling · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors at 3 institutions in 1 country.

Arvind RamanathanComputational Biology Institute and Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America.
Andrej J Savol
Christopher J Langmead
Pratul K Agarwal
Chakra S Chennubhotla
Oak Ridge National Laboratory · USUniversity of Pittsburgh · USCarnegie Mellon University · US

Funding

Integrated Interdisciplinary, inter-university PhD Program Computational Biology (T32)T32EB009403 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAHAR, IVET, BAR-JOSEPH, ZIV · 2009 to 2023
$4.4M
Innovative Supercomputing for Breakthrough Molecular DynamicsRC2GM093307 · NIGMS · CARNEGIE-MELLON UNIVERSITY · PI DITTRICH, MARKUS · 2009 to 2010
$2.7M
Structural Dynamics of Biomolecular SystemsR01GM086238 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAHAR, IVET · 2009 to 2012
$1.3M
NIBIB NIH HHS T32 EB009403NIGMS NIH HHS 1RC2GM093307NIGMS NIH HHS R01 GM086238NIGMS NIH HHS RC2 GM093307
6 · The paper itself

Abstract

backgroundInternal motions enable proteins to explore a range of conformations, even in the vicinity of native state. The role of conformational fluctuations in the designated function of a protein is widely debated. Emerging evidence suggests that sub-groups within the range of conformations (or sub-states) contain properties that may be functionally relevant. However, low populations in these sub-states and the transient nature of conformational transitions between these sub-states present significant challenges for their identification and characterization. METHODS AND

findingsTo overcome these challenges we have developed a new computational technique, quasi-anharmonic analysis (QAA). QAA utilizes higher-order statistics of protein motions to identify sub-states in the conformational landscape. Further, the focus on anharmonicity allows identification of conformational fluctuations that enable transitions between sub-states. QAA applied to equilibrium simulations of human ubiquitin and T4 lysozyme reveals functionally relevant sub-states and protein motions involved in molecular recognition. In combination with a reaction pathway sampling method, QAA characterizes conformational sub-states associated with cis/trans peptidyl-prolyl isomerization catalyzed by the enzyme cyclophilin A. In these three proteins, QAA allows identification of conformational sub-states, with critical structural and dynamical features relevant to protein function.

conclusionsOverall, QAA provides a novel framework to intuitively understand the biophysical basis of conformational diversity and its relevance to protein function.

Indexed as

Models, ChemicalMolecular Dynamics SimulationPhase TransitionHumansIsomerismModels, MolecularMotionMuramidaseProtein BindingProtein ConformationProteinsUbiquitinMuramidaseProteinsUbiquitin

Identifiers

PMID21297978
PMCPMC3030567
OpenAlexW2029390494

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.