Evidence map›Paper›PMID 17210072›Full record

ArticleBMC structural biology2007

A generalized analysis of hydrophobic and loop clusters within globular protein sequences.

Richard Eudes, Khanh Le Tuan, Jean Delettré, Jean-Paul Mornon, Isabelle Callebaut

Abstract read
In one paragraph

Article in BMC structural biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

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23citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Predicting Protein Conformational Disorder and Disordered Binding Sites.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  4. Entropy-Enthalpy Compensations Fold Proteins in Precise Ways.International journal of molecular sciences · 2021
    Article
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  6. Review
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  18. Finding of residues crucial for supersecondary structure formation.Proceedings of the National Academy of Sciences of the United States of America · 2009
    Article
  19. Article
  20. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Richard EudesStructural Biology Department, IMPMC, CNRS UMR7590, Universités Paris 6 & Paris 7, case 115, 4 place Jussieu, 75252 Paris Cedex 05, France. richard.eudes@impmc.jussieu.fr <richard.eudes@impmc.jussieu.fr>
Khanh Le Tuan
Jean Delettré
Jean-Paul Mornon
Isabelle Callebaut

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHydrophobic Cluster Analysis (HCA) is an efficient way to compare highly divergent sequences through the implicit secondary structure information directly derived from hydrophobic clusters. However, its efficiency and application are currently limited by the need of user expertise. In order to help the analysis of HCA plots, we report here the structural preferences of hydrophobic cluster species, which are frequently encountered in globular domains of proteins. These species are characterized only by their hydrophobic/non-hydrophobic dichotomy. This analysis has been extended to loop-forming clusters, using an appropriate loop alphabet.

resultsThe structural behavior of hydrophobic cluster species, which are typical of protein globular domains, was investigated within banks of experimental structures, considered at different levels of sequence redundancy. The 294 more frequent hydrophobic cluster species were analyzed with regard to their association with the different secondary structures (frequencies of association with secondary structures and secondary structure propensities). Hydrophobic cluster species are predominantly associated with regular secondary structures, and a large part (60 %) reveals preferences for alpha-helices or beta-strands. Moreover, the analysis of the hydrophobic cluster amino acid composition generally allows for finer prediction of the regular secondary structure associated with the considered cluster within a cluster species. We also investigated the behavior of loop forming clusters, using a "PGDNS" alphabet. These loop clusters do not overlap with hydrophobic clusters and are highly associated with coils. Finally, the structural information contained in the hydrophobic structural words, as deduced from experimental structures, was compared to the PSI-PRED predictions, revealing that beta-strands and especially alpha-helices are generally over-predicted within the limits of typical beta and alpha hydrophobic clusters.

conclusionThe dictionary of hydrophobic clusters described here can help the HCA user to interpret and compare the HCA plots of globular protein sequences, as well as provides an original fundamental insight into the structural bricks of protein folds. Moreover, the novel loop cluster analysis brings additional information for secondary structure prediction on the whole sequence through a generalized cluster analysis (GCA), and not only on regular secondary structures. Such information lays the foundations for developing a new and original tool for secondary structure prediction.

Indexed as

Protein FoldingProtein Structure, SecondaryCluster AnalysisHydrophobic and Hydrophilic InteractionsSequence Analysis, Protein

Identifiers

PMID17210072
PMCPMC1774571

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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.