Literature DB >> 12874050

Identifying property based sequence motifs in protein families and superfamilies: application to DNase-1 related endonucleases.

Venkatarajan S Mathura1, Catherine H Schein, Werner Braun.   

Abstract

MOTIVATION: Identification of short conserved sequence motifs common to a protein family or superfamily can be more useful than overall sequence similarity in suggesting the function of novel gene products. Locating motifs still requires expert knowledge, as automated methods using stringent criteria may not differentiate subtle similarities from statistical noise.
RESULTS: We have developed a novel automatic method, based on patterns of conservation of 237 physical-chemical properties of amino acids in aligned protein sequences, to find related motifs in proteins with little or no overall sequence similarity. As an application, our web-server MASIA identified 12 property-based motifs in the apurinic/apyrimidinic endonuclease (APE) family of DNA-repair enzymes of the DNase-I superfamily. Searching with these motifs located distantly related representatives of the DNase-I superfamily, such as Inositol 5'-polyphosphate phosphatases in the ASTRAL40 database, using a Bayesian scoring function. Other proteins containing APE motifs had no overall sequence or structural similarity. However, all were phosphatases and/or had a metal ion binding active site. Thus our automated method can identify discrete elements in distantly related proteins that define local structure and aspects of function. We anticipate that our method will complement existing ones to functionally annotate novel protein sequences from genomic projects. AVAILABILITY: MASIA WEB site: http://www.scsb.utmb.edu/masia/masia.html SUPPLEMENTARY INFORMATION: The dendrogram of 42 APE sequences used to derive motifs is available on http://www.scsb.utmb.edu/comp_biol.html/DNA_repair/publication.html

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Year:  2003        PMID: 12874050     DOI: 10.1093/bioinformatics/btg164

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


  24 in total

1.  Selectively receptor-blind measles viruses: Identification of residues necessary for SLAM- or CD46-induced fusion and their localization on a new hemagglutinin structural model.

Authors:  Sompong Vongpunsawad; Numan Oezgun; Werner Braun; Roberto Cattaneo
Journal:  J Virol       Date:  2004-01       Impact factor: 5.103

2.  Engineering proteins with enhanced mechanical stability by force-specific sequence motifs.

Authors:  Wenzhe Lu; Surendra S Negi; Andres F Oberhauser; Werner Braun
Journal:  Proteins       Date:  2012-02-10

3.  AllerML: markup language for allergens.

Authors:  Ovidiu Ivanciuc; Steven M Gendel; Trevor D Power; Catherine H Schein; Werner Braun
Journal:  Regul Toxicol Pharmacol       Date:  2011-03-21       Impact factor: 3.271

4.  Identification of GATC- and CCGG-recognizing Type II REases and their putative specificity-determining positions using Scan2S--a novel motif scan algorithm with optional secondary structure constraints.

Authors:  Masha Y Niv; Lucy Skrabanek; Richard J Roberts; Harold A Scheraga; Harel Weinstein
Journal:  Proteins       Date:  2008-05-01

5.  Statistical analysis of physical-chemical properties and prediction of protein-protein interfaces.

Authors:  Surendra S Negi; Werner Braun
Journal:  J Mol Model       Date:  2007-09-09       Impact factor: 1.810

6.  APDbase: Amino acid Physico-chemical properties Database.

Authors:  Venkatarajan S Mathura; Deepak Kolippakkam
Journal:  Bioinformation       Date:  2005-03-12

7.  Distinguishing allergens from non-allergenic homologues using Physical-Chemical Property (PCP) motifs.

Authors:  Wenzhe Lu; Surendra S Negi; Catherine H Schein; Soheila J Maleki; Barry K Hurlburt; Werner Braun
Journal:  Mol Immunol       Date:  2018-04-06       Impact factor: 4.407

Review 8.  Bioinformatics approaches to classifying allergens and predicting cross-reactivity.

Authors:  Catherine H Schein; Ovidiu Ivanciuc; Werner Braun
Journal:  Immunol Allergy Clin North Am       Date:  2007-02       Impact factor: 3.479

9.  Characteristic motifs for families of allergenic proteins.

Authors:  Ovidiu Ivanciuc; Tzintzuni Garcia; Miguel Torres; Catherine H Schein; Werner Braun
Journal:  Mol Immunol       Date:  2008-10-31       Impact factor: 4.407

10.  PCP consensus sequences of flaviviruses: correlating variance with vector competence and disease phenotype.

Authors:  Petr Danecek; Wenzhe Lu; Catherine H Schein
Journal:  J Mol Biol       Date:  2009-12-04       Impact factor: 5.469

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