Functional equivalency inferred from "authoritative sources" in networks of homologous proteins.

A one-on-one mapping of protein functionality across different species is a critical component of comparative analysis. This paper presents a heuristic algorithm for discovering the Most Likely Functional Counterparts (MoLFunCs) of a protein, based on simple concepts from network theory. A key featu...

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Main Authors: Shreedhar Natarajan, Eric Jakobsson
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2009-06-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC2690840?pdf=render
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author Shreedhar Natarajan
Eric Jakobsson
author_facet Shreedhar Natarajan
Eric Jakobsson
author_sort Shreedhar Natarajan
collection DOAJ
description A one-on-one mapping of protein functionality across different species is a critical component of comparative analysis. This paper presents a heuristic algorithm for discovering the Most Likely Functional Counterparts (MoLFunCs) of a protein, based on simple concepts from network theory. A key feature of our algorithm is utilization of the user's knowledge to assign high confidence to selected functional identification. We show use of the algorithm to retrieve functional equivalents for 7 membrane proteins, from an exploration of almost 40 genomes form multiple online resources. We verify the functional equivalency of our dataset through a series of tests that include sequence, structure and function comparisons. Comparison is made to the OMA methodology, which also identifies one-on-one mapping between proteins from different species. Based on that comparison, we believe that incorporation of user's knowledge as a key aspect of the technique adds value to purely statistical formal methods.
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spelling doaj.art-bf841671b55c4d7580af30c6286d623c2022-12-22T03:46:29ZengPublic Library of Science (PLoS)PLoS ONE1932-62032009-06-0146e589810.1371/journal.pone.0005898Functional equivalency inferred from "authoritative sources" in networks of homologous proteins.Shreedhar NatarajanEric JakobssonA one-on-one mapping of protein functionality across different species is a critical component of comparative analysis. This paper presents a heuristic algorithm for discovering the Most Likely Functional Counterparts (MoLFunCs) of a protein, based on simple concepts from network theory. A key feature of our algorithm is utilization of the user's knowledge to assign high confidence to selected functional identification. We show use of the algorithm to retrieve functional equivalents for 7 membrane proteins, from an exploration of almost 40 genomes form multiple online resources. We verify the functional equivalency of our dataset through a series of tests that include sequence, structure and function comparisons. Comparison is made to the OMA methodology, which also identifies one-on-one mapping between proteins from different species. Based on that comparison, we believe that incorporation of user's knowledge as a key aspect of the technique adds value to purely statistical formal methods.http://europepmc.org/articles/PMC2690840?pdf=render
spellingShingle Shreedhar Natarajan
Eric Jakobsson
Functional equivalency inferred from "authoritative sources" in networks of homologous proteins.
PLoS ONE
title Functional equivalency inferred from "authoritative sources" in networks of homologous proteins.
title_full Functional equivalency inferred from "authoritative sources" in networks of homologous proteins.
title_fullStr Functional equivalency inferred from "authoritative sources" in networks of homologous proteins.
title_full_unstemmed Functional equivalency inferred from "authoritative sources" in networks of homologous proteins.
title_short Functional equivalency inferred from "authoritative sources" in networks of homologous proteins.
title_sort functional equivalency inferred from authoritative sources in networks of homologous proteins
url http://europepmc.org/articles/PMC2690840?pdf=render
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