Evidence map›Paper›PMID 21047817›Full record

ArticleBioinformatics (Oxford, England)2010

Characterizing the regularity of tetrahedral packing motifs in protein tertiary structure.

Ryan Day, Kristin P Lennox, David B Dahl, Marina Vannucci, Jerry W Tsai

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ryan DayDepartment of Chemistry, University of the Pacific, Stockton, CA 95211, USA.
Kristin P Lennox
David B Dahl
Marina Vannucci
Jerry W Tsai

Funding

Side Chain Driven Refinement of Protein StructureR01GM081631 · NIGMS · UNIVERSITY OF THE PACIFIC-STOCKTON · PI TSAI, JERRY W · 2007 to 2010
$952k
NIGMS NIH HHS R01 GM81631
6 · The paper itself

Abstract

motivationWhile protein secondary structure is well understood, representing the repetitive nature of tertiary packing in proteins remains difficult. We have developed a construct called the relative packing group (RPG) that applies the clique concept from graph theory as a natural basis for defining the packing motifs in proteins. An RPG is defined as a clique of residues, where every member contacts all others as determined by the Delaunay tessellation. Geometrically similar RPGs define a regular element of tertiary structure or tertiary motif (TerMo). This intuitive construct provides a simple approach to characterize general repetitive elements of tertiary structure.

resultsA dataset of over 4 million tetrahedral RPGs was clustered using different criteria to characterize the various aspects of regular tertiary structure in TerMos. Grouping this data within the SCOP classification levels of Family, Superfamily, Fold, Class and PDB showed that similar packing is shared across different folds. Classification of RPGs based on residue sequence locality reveals topological preferences according to protein sizes and secondary structure. We find that larger proteins favor RPGs with three local residues packed against a non-local residue. Classifying by secondary structure, helices prefer mostly local residues, sheets favor at least two local residues, while turns and coil populate with more local residues. To depict these TerMos, we have developed 2 complementary and intuitive representations: (i) Dirichlet process mixture density estimation of the torsion angle distributions and (ii) kernel density estimation of the Cartesian coordinate distribution. The TerMo library and representations software are available upon request.

Indexed as

Protein Structure, TertiaryAmino Acid MotifsModels, MolecularModels, StatisticalProteinsProtein Structure, SecondaryProteins

Identifiers

PMID21047817
PMCPMC2995117

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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.