Literature DB >> 23080118

Assessing the relationship between conservation of function and conservation of sequence using photosynthetic proteins.

Shaul Ashkenazi1, Rotem Snir, Yanay Ofran.   

Abstract

MOTIVATION: Assessing the false positive rate of function prediction methods is difficult, as it is hard to establish that a protein does not have a certain function. To determine to what extent proteins with similar sequences have a common function, we focused on photosynthesis-related proteins. A protein that comes from a non-photosynthetic organism is, undoubtedly, not involved in photosynthesis.
RESULTS: We show that function diverges very rapidly: 70% of the close homologs of photosynthetic proteins come from non-photosynthetic organisms. Therefore, high sequence similarity, in most cases, is not tantamount to similar function. However, we found that many functionally similar proteins often share short sequence elements, which may correspond to a functional site and could reveal functional similarities more accurately than sequence similarity.
CONCLUSIONS: These results shed light on the way biological function is conserved in evolution and may help improve large-scale analysis of protein function.

Mesh:

Substances:

Year:  2012        PMID: 23080118     DOI: 10.1093/bioinformatics/bts608

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  8 in total

1.  SCMPSP: Prediction and characterization of photosynthetic proteins based on a scoring card method.

Authors:  Tamara Vasylenko; Yi-Fan Liou; Hong-An Chen; Phasit Charoenkwan; Hui-Ling Huang; Shinn-Ying Ho
Journal:  BMC Bioinformatics       Date:  2015-01-21       Impact factor: 3.169

2.  De-novo protein function prediction using DNA binding and RNA binding proteins as a test case.

Authors:  Sapir Peled; Olga Leiderman; Rotem Charar; Gilat Efroni; Yaron Shav-Tal; Yanay Ofran
Journal:  Nat Commun       Date:  2016-11-21       Impact factor: 14.919

3.  SCMBYK: prediction and characterization of bacterial tyrosine-kinases based on propensity scores of dipeptides.

Authors:  Tamara Vasylenko; Yi-Fan Liou; Po-Chin Chiou; Hsiao-Wei Chu; Yung-Sung Lai; Yu-Ling Chou; Hui-Ling Huang; Shinn-Ying Ho
Journal:  BMC Bioinformatics       Date:  2016-12-22       Impact factor: 3.169

4.  Metabolic Pathway Assignment of Plant Genes based on Phylogenetic Profiling-A Feasibility Study.

Authors:  Sandra Weißenborn; Dirk Walther
Journal:  Front Plant Sci       Date:  2017-10-27       Impact factor: 5.753

5.  Photosynthetic protein classification using genome neighborhood-based machine learning feature.

Authors:  Apiwat Sangphukieo; Teeraphan Laomettachit; Marasri Ruengjitchatchawalya
Journal:  Sci Rep       Date:  2020-04-28       Impact factor: 4.379

6.  PhotoModPlus: A web server for photosynthetic protein prediction from genome neighborhood features.

Authors:  Apiwat Sangphukieo; Teeraphan Laomettachit; Marasri Ruengjitchatchawalya
Journal:  PLoS One       Date:  2021-03-17       Impact factor: 3.240

7.  Phosphoglycerate mutases function as reverse regulated isoenzymes in Synechococcus elongatus PCC 7942.

Authors:  Jiri Jablonsky; Martin Hagemann; Doreen Schwarz; Olaf Wolkenhauer
Journal:  PLoS One       Date:  2013-03-06       Impact factor: 3.240

8.  Transferring functional annotations of membrane transporters on the basis of sequence similarity and sequence motifs.

Authors:  Ahmad Barghash; Volkhard Helms
Journal:  BMC Bioinformatics       Date:  2013-11-28       Impact factor: 3.169

  8 in total

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