Literature DB >> 16385560

Locally defined protein phylogenetic profiles reveal previously missed protein interactions and functional relationships.

Yohan Kim1, Shankar Subramaniam.   

Abstract

Phylogenetic profiles encode patterns of presence or absence of genes across genomes, and these profiles can be used to assign functional relationships to nonhomologous pairs of proteins (Pellegrini et al., Proc Natl Acad Sci USA 1999;96:4284-4288). Although it is well known that many proteins were created from combinations of domains, most of the existing implementations of phylogenetic profiles do not consider this fact. Here, we introduce an extension that considers the multidomain nature of proteins and test the method against the known interaction data sets. Whereas earlier implementations associated one entire sequence with one protein phylogenetic profile (Single-Profile), our method instead breaks the sequence into a set of segments of predetermined size and constructs a separate profile for each segment (Multiple-Profile). The results show that the Multiple-Profile method performs as well as the Single-Profile method. However, the two methods share, surprisingly, a small fraction of their predictions, indicating that the Multiple-Profile method can detect known interactions missed by the Single-Profile method. Thus, the Multiple-Profile method can be used with other methods to determine functional relationships on a genome scale with wider coverage. 2005 Wiley-Liss, Inc.

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Year:  2006        PMID: 16385560     DOI: 10.1002/prot.20830

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  19 in total

1.  Co-evolutionary analysis of domains in interacting proteins reveals insights into domain-domain interactions mediating protein-protein interactions.

Authors:  Raja Jothi; Praveen F Cherukuri; Asba Tasneem; Teresa M Przytycka
Journal:  J Mol Biol       Date:  2006-08-01       Impact factor: 5.469

Review 2.  Practical and theoretical advances in predicting the function of a protein by its phylogenetic distribution.

Authors:  Philip R Kensche; Vera van Noort; Bas E Dutilh; Martijn A Huynen
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Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-02       Impact factor: 11.205

4.  Mapping global and local coevolution across 600 species to identify novel homologous recombination repair genes.

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Journal:  Genome Res       Date:  2019-02-04       Impact factor: 9.043

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Review 6.  Algorithmic and analytical methods in network biology.

Authors:  Mehmet Koyutürk
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2010 May-Jun

7.  Adaptive GDDA-BLAST: fast and efficient algorithm for protein sequence embedding.

Authors:  Yoojin Hong; Jaewoo Kang; Dongwon Lee; Damian B van Rossum
Journal:  PLoS One       Date:  2010-10-22       Impact factor: 3.240

8.  Phylogenetic Profiles Reveal Structural and Functional Determinants of Lipid-binding.

Authors:  Yoojin Hong; Dimitra Chalkia; Kyung Dae Ko; Gaurav Bhardwaj; Gue Su Chang; Damian B van Rossum; Randen L Patterson
Journal:  J Proteomics Bioinform       Date:  2009-03-21

Review 9.  Prediction and redesign of protein-protein interactions.

Authors:  Rhonald C Lua; David C Marciano; Panagiotis Katsonis; Anbu K Adikesavan; Angela D Wilkins; Olivier Lichtarge
Journal:  Prog Biophys Mol Biol       Date:  2014-05-27       Impact factor: 3.667

10.  Proteins with complex architecture as potential targets for drug design: a case study of Mycobacterium tuberculosis.

Authors:  Bálint Mészáros; Judit Tóth; Beáta G Vértessy; Zsuzsanna Dosztányi; István Simon
Journal:  PLoS Comput Biol       Date:  2011-07-21       Impact factor: 4.475

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