Evidence map›Paper›PMID 22615547›Full record

ArticlePLoS computational biology2012

Insights into the fold organization of TIM barrel from interaction energy based structure networks.

M S Vijayabaskar, Saraswathi Vishveshwara

Abstract read
In one paragraph

Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

16 citing papers in PubMed.

  1. Molecular Dynamics Simulations of 4Computational and structural biotechnology journal · 2026
    Article
  2. Structural, biophysical, and biochemical insights into C-S bond cleavage by dimethylsulfone monooxygenase.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  3. Diversifying de novo TIM barrels by hallucination.Protein science : a publication of the Protein Society · 2024
    Article
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  5. Review
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  14. An automated approach to network features of protein structure ensembles.Protein science : a publication of the Protein Society · 2013
    Article
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  16. 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

2 authors.

M S VijayabaskarMolecular Biophysics Unit, Indian Institute of Science, Bangalore, India.
Saraswathi Vishveshwara

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are many well-known examples of proteins with low sequence similarity, adopting the same structural fold. This aspect of sequence-structure relationship has been extensively studied both experimentally and theoretically, however with limited success. Most of the studies consider remote homology or "sequence conservation" as the basis for their understanding. Recently "interaction energy" based network formalism (Protein Energy Networks (PENs)) was developed to understand the determinants of protein structures. In this paper we have used these PENs to investigate the common non-covalent interactions and their collective features which stabilize the TIM barrel fold. We have also developed a method of aligning PENs in order to understand the spatial conservation of interactions in the fold. We have identified key common interactions responsible for the conservation of the TIM fold, despite high sequence dissimilarity. For instance, the central beta barrel of the TIM fold is stabilized by long-range high energy electrostatic interactions and low-energy contiguous vdW interactions in certain families. The other interfaces like the helix-sheet or the helix-helix seem to be devoid of any high energy conserved interactions. Conserved interactions in the loop regions around the catalytic site of the TIM fold have also been identified, pointing out their significance in both structural and functional evolution. Based on these investigations, we have developed a novel network based phylogenetic analysis for remote homologues, which can perform better than sequence based phylogeny. Such an analysis is more meaningful from both structural and functional evolutionary perspective. We believe that the information obtained through the "interaction conservation" viewpoint and the subsequently developed method of structure network alignment, can shed new light in the fields of fold organization and de novo computational protein design.

Indexed as

Models, ChemicalModels, MolecularAmino Acid SequenceComputer SimulationEnergy TransferMolecular Sequence DataProtein ConformationProtein FoldingSequence AlignmentSequence Analysis, ProteinTriose-Phosphate IsomeraseTriose-Phosphate Isomerase

Identifiers

PMID22615547
PMCPMC3355060

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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.