Evidence map›Paper›PMID 15691378›Full record

ArticleBMC evolutionary biology2005

Structural similarity of loops in protein families: toward the understanding of protein evolution.

Anna R Panchenko, Thomas Madej

Abstract read
In one paragraph

Article in BMC evolutionary biology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
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  7. Determination of B- and T- cell epitopes for Helicobacter pylori cagPAI: An in silico approach.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2020
    Article
  8. Simple Selection Procedure to Distinguish between Static and Flexible Loops.International journal of molecular sciences · 2020
    Article
  9. Article
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  11. Article
  12. Why reinvent the wheel? Building new proteins based on ready-made parts.Protein science : a publication of the Protein Society · 2016
    Review
  13. Article
  14. Conformational sampling in template-free protein loop structure modeling: an overview.Computational and structural biotechnology journal · 2013
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Models to Approximate the Motions of Protein Loops.Journal of chemical theory and computation · 2010
    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

2 authors.

Anna R PanchenkoComputational Biology Branch, National Center for Biotechnology Information, National Institutes of Health, Bethesda, MD 20894, USA. panch@ncbi.nlm.nih.gov
Thomas Madej

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProtein evolution and protein classification are usually inferred by comparing protein cores in their conserved aligned parts. Structurally aligned protein regions are separated by less conserved loop regions, where sequence and structure locally deviate from each other and do not superimpose well.

resultsOur results indicate that even longer protein loops can not be viewed as "random coils" and for the majority of protein families in our test set there exists a linear correlation between the measures of sequence similarity and loop structural similarity. Results suggest that distance matrices derived from the loop (dis)similarity measure may produce in some cases more reliable cluster trees compared to the distance matrices based on the conventional measures of sequence and structural (dis)similarity.

conclusionsWe show that by considering "dissimilar" loop regions rather than only conserved core regions it is possible to improve our understanding of protein evolution.

Indexed as

Evolution, MolecularAlgorithmsAnimalsBiological EvolutionCluster AnalysisGene DeletionGenetic LinkageGenomicsModels, GeneticModels, MolecularModels, StatisticalMutationPhylogenyProtein ConformationProteinsProtein Structure, TertiaryProteinsRibonuclease, Pancreatic

Identifiers

PMID15691378
PMCPMC549550

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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.