Evidence map›Paper›PMID 16820777›Full record

ArticleMolecular systems biology2006

Markov propagation of allosteric effects in biomolecular systems: application to GroEL-GroES.

Chakra Chennubhotla, Ivet Bahar

Abstract read
In one paragraph

Article in Molecular systems biology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.

0numbers the graph read from it
0cells of the map it votes in
78citing 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

78 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Engineering an Allosteric Control of Protein Function.The journal of physical chemistry. B · 2021
    Review
  10. Structural Communication between theInternational journal of molecular sciences · 2021
    Article
  11. Article
  12. Identification of Allosteric Effects in Proteins by Elastic Network Models.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  13. Article
  14. Integrated Computational Approaches and Tools forAllosteric Drug Discovery.International journal of molecular sciences · 2020
    Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Markov models for the elucidation of allosteric regulation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    Review
  20. Article

18 more citing papers are in PubMed but not listed here.

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

2 authors.

Chakra ChennubhotlaDepartment of Computational Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Ivet Bahar

Funding

Computational Prediction of Biomolecular DynamicsR33GM068400 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAHAR, IVET · 2005 to 2007
$912k
NIGMS NIH HHS R33 GM068400NIGMS NIH HHS R33 GM068400-01A2
6 · The paper itself

Abstract

We introduce a novel approach for elucidating the potential pathways of allosteric communication in biomolecular systems. The methodology, based on Markov propagation of 'information' across the structure, permits us to partition the network of interactions into soft clusters distinguished by their coherent stochastics. Probabilistic participation of residues in these clusters defines the communication patterns inherent to the network architecture. Application to bacterial chaperonin complex GroEL-GroES, an allostery-driven structure, identifies residues engaged in intra- and inter-subunit communication, including those acting as hubs and messengers. A number of residues are distinguished by their high potentials to transmit allosteric signals, including Pro33 and Thr90 at the nucleotide-binding site and Glu461 and Arg197 mediating inter- and intra-ring communication, respectively. We propose two most likely pathways of signal transmission, between nucleotide- and GroES-binding sites across the cis and trans rings, which involve several conserved residues. A striking observation is the opposite direction of information flow within cis and trans rings, consistent with negative inter-ring cooperativity. Comparison with collective modes deduced from normal mode analysis reveals the propensity of global hinge regions to act as messengers in the transmission of allosteric signals.

Indexed as

Markov ChainsAllosteric RegulationBinding SitesChaperonin 10Chaperonin 60Models, MolecularNucleotidesProtein Structure, TertiaryProtein SubunitsStochastic ProcessesChaperonin 10Chaperonin 60NucleotidesProtein Subunits

Identifiers

PMID16820777
PMCPMC1681507

What OpenQuestion holds

Textmetadata
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.