Literature DB >> 14559779

Functionality of system components: conservation of protein function in protein feature space.

Lars Juhl Jensen1, David W Ussery, Søren Brunak.   

Abstract

Many protein features useful for prediction of protein function can be predicted from sequence, including posttranslational modifications, subcellular localization, and physical/chemical properties. We show here that such protein features are more conserved among orthologs than paralogs, indicating they are crucial for protein function and thus subject to selective pressure. This means that a function prediction method based on sequence-derived features may be able to discriminate between proteins with different function even when they have highly similar structure. Also, such a method is likely to perform well on organisms other than the one on which it was trained. We evaluate the performance of such a method, ProtFun, which relies on protein features as its sole input, and show that the method gives similar performance for most eukaryotes and performs much better than anticipated on archaea and bacteria. From this analysis, we conclude that for the posttranslational modifications studied, both the cellular use and the sequence motifs are conserved within Eukarya.

Mesh:

Substances:

Year:  2003        PMID: 14559779      PMCID: PMC403763          DOI: 10.1101/gr.1190803

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  24 in total

Review 1.  Machine learning approaches for the prediction of signal peptides and other protein sorting signals.

Authors:  H Nielsen; S Brunak; G von Heijne
Journal:  Protein Eng       Date:  1999-01

2.  GenBank.

Authors:  Dennis A Benson; Ilene Karsch-Mizrachi; David J Lipman; James Ostell; Barbara A Rapp; David L Wheeler
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

3.  The Ensembl genome database project.

Authors:  T Hubbard; D Barker; E Birney; G Cameron; Y Chen; L Clark; T Cox; J Cuff; V Curwen; T Down; R Durbin; E Eyras; J Gilbert; M Hammond; L Huminiecki; A Kasprzyk; H Lehvaslaiho; P Lijnzaad; C Melsopp; E Mongin; R Pettett; M Pocock; S Potter; A Rust; E Schmidt; S Searle; G Slater; J Smith; W Spooner; A Stabenau; J Stalker; E Stupka; A Ureta-Vidal; I Vastrik; M Clamp
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

4.  Prediction of human protein function from post-translational modifications and localization features.

Authors:  L J Jensen; R Gupta; N Blom; D Devos; J Tamames; C Kesmir; H Nielsen; H H Staerfeldt; K Rapacki; C Workman; C A F Andersen; S Knudsen; A Krogh; A Valencia; S Brunak
Journal:  J Mol Biol       Date:  2002-06-21       Impact factor: 5.469

5.  EUCLID: automatic classification of proteins in functional classes by their database annotations.

Authors:  J Tamames; C Ouzounis; G Casari; C Sander; A Valencia
Journal:  Bioinformatics       Date:  1998       Impact factor: 6.937

6.  NetOglyc: prediction of mucin type O-glycosylation sites based on sequence context and surface accessibility.

Authors:  J E Hansen; O Lund; N Tolstrup; A A Gooley; K L Williams; S Brunak
Journal:  Glycoconj J       Date:  1998-02       Impact factor: 2.916

Review 7.  PEST sequences and regulation by proteolysis.

Authors:  M Rechsteiner; S W Rogers
Journal:  Trends Biochem Sci       Date:  1996-07       Impact factor: 13.807

8.  Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites.

Authors:  H Nielsen; J Engelbrecht; S Brunak; G von Heijne
Journal:  Protein Eng       Date:  1997-01

9.  Non-globular domains in protein sequences: automated segmentation using complexity measures.

Authors:  J C Wootton
Journal:  Comput Chem       Date:  1994-09

10.  Prediction of protein function from sequence properties. Discriminant analysis of a data base.

Authors:  P Klein; M Kanehisa; C DeLisi
Journal:  Biochim Biophys Acta       Date:  1984-06-28
View more
  14 in total

1.  Genome-wide analysis of intronless genes in rice and Arabidopsis.

Authors:  Mukesh Jain; Paramjit Khurana; Akhilesh K Tyagi; Jitendra P Khurana
Journal:  Funct Integr Genomics       Date:  2007-06-20       Impact factor: 3.410

Review 2.  Homology and phylogeny and their automated inference.

Authors:  Georg Fuellen
Journal:  Naturwissenschaften       Date:  2008-02-21

3.  ESG: extended similarity group method for automated protein function prediction.

Authors:  Meghana Chitale; Troy Hawkins; Changsoon Park; Daisuke Kihara
Journal:  Bioinformatics       Date:  2009-05-12       Impact factor: 6.937

4.  INTEGRATING COMPUTATIONAL PROTEIN FUNCTION PREDICTION INTO DRUG DISCOVERY INITIATIVES.

Authors:  Marianne A Grant
Journal:  Drug Dev Res       Date:  2011-02       Impact factor: 4.360

5.  Parallel evolution of non-homologous isofunctional enzymes in methionine biosynthesis.

Authors:  Karine Bastard; Alain Perret; Aline Mariage; Thomas Bessonnet; Agnès Pinet-Turpault; Jean-Louis Petit; Ekaterina Darii; Pascal Bazire; Carine Vergne-Vaxelaire; Clémence Brewee; Adrien Debard; Virginie Pellouin; Marielle Besnard-Gonnet; François Artiguenave; Claudine Médigue; David Vallenet; Antoine Danchin; Anne Zaparucha; Jean Weissenbach; Marcel Salanoubat; Véronique de Berardinis
Journal:  Nat Chem Biol       Date:  2017-06-05       Impact factor: 15.040

6.  Detecting novel genes with sparse arrays.

Authors:  Mikko Arvas; Niina Haiminen; Bart Smit; Jari Rautio; Marika Vitikainen; Marilyn Wiebe; Diego Martinez; Christine Chee; Joe Kunkel; Charles Sanchez; Mary Anne Nelson; Tiina Pakula; Markku Saloheimo; Merja Penttilä; Teemu Kivioja
Journal:  Gene       Date:  2010-08-05       Impact factor: 3.688

7.  Investigating models of protein function and allostery with a widespread mutational analysis of a light-activated protein.

Authors:  Josiah P Zayner; Chloe Antoniou; Alexander R French; Ronald J Hause; Tobin R Sosnick
Journal:  Biophys J       Date:  2013-08-20       Impact factor: 4.033

8.  New insights regarding HCV-NS5A structure/function and indication of genotypic differences.

Authors:  Lilian Ht Yamasaki; Helen A Arcuri; Ana Carolina G Jardim; Cintia Bittar; Isabel Maria Vg de Carvalho-Mello; Paula Rahal
Journal:  Virol J       Date:  2012-01-12       Impact factor: 4.099

9.  Predicting protein function by machine learning on amino acid sequences--a critical evaluation.

Authors:  Ali Al-Shahib; Rainer Breitling; David R Gilbert
Journal:  BMC Genomics       Date:  2007-03-20       Impact factor: 3.969

10.  Structure-guided comparative analysis of proteins: principles, tools, and applications for predicting function.

Authors:  Raja Mazumder; Sona Vasudevan
Journal:  PLoS Comput Biol       Date:  2008-09-26       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.