Evidence map›Paper›PMID 30717667›Full record

ArticleBMC bioinformatics2019

Functional homogeneity and specificity of topological modules in human proteome.

Rama Kaalia, Jagath C Rajapakse

Abstract read
In one paragraph

Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Rama KaaliaSchool of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore.
Jagath C RajapakseSchool of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore. asjagath@ntu.edu.sg.ORCID http://orcid.org/0000-0001-7944-1658

Funding

Ministry of Education - Singapore Tier-2 MOE2016-T2-1-029
6 · The paper itself

Abstract

backgroundFunctional modules in protein-protein interaction networks (PPIN) are defined by maximal sets of functionally associated proteins and are vital to understanding cellular mechanisms and identifying disease associated proteins. Topological modules of the human proteome have been shown to be related to functional modules of PPIN. However, the effects of the weights of interactions between protein pairs and the integration of physical (direct) interactions with functional (indirect expression-based) interactions have not been investigated in the detection of functional modules of the human proteome.

resultsWe investigated functional homogeneity and specificity of topological modules of the human proteome and validated them with known biological and disease pathways. Specifically, we determined the effects on functional homogeneity and heterogeneity of topological modules (i) with both physical and functional protein-protein interactions; and (ii) with incorporation of functional similarities between proteins as weights of interactions. With functional enrichment analyses and a novel measure for functional specificity, we evaluated functional relevance and specificity of topological modules of the human proteome.

conclusionsThe topological modules ranked using specificity scores show high enrichment with gene sets of known functions. Physical interactions in PPIN contribute to high specificity of the topological modules of the human proteome whereas functional interactions contribute to high homogeneity of the modules. Weighted networks result in more number of topological modules but did not affect their functional propensity. Modules of human proteome are more homogeneous for molecular functions than biological processes.

Indexed as

Protein Interaction MapsAlgorithmsHumansProteomeReproducibility of ResultsProteomeFunctional enrichment analysisFunctional modulesFunctional PPIPhysical PPIProtein-protein interaction networksTopological modules

Identifiers

PMID30717667
PMCPMC7394330

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