Literature DB >> 15215413

MITOPRED: a web server for the prediction of mitochondrial proteins.

Chittibabu Guda1, Purnima Guda, Eoin Fahy, Shankar Subramaniam.   

Abstract

MITOPRED web server enables prediction of nucleus-encoded mitochondrial proteins in all eukaryotic species. Predictions are made using a new algorithm based primarily on Pfam domain occurrence patterns in mitochondrial and non-mitochondrial locations. Pre-calculated predictions are instantly accessible for proteomes of Saccharomyces cerevisiae, Caenorhabditis elegans, Drosophila, Homo sapiens, Mus musculus and Arabidopsis species as well as all the eukaryotic sequences in the Swiss-Prot and TrEMBL databases. Queries, at different confidence levels, can be made through four distinct options: (i) entering Swiss-Prot/TrEMBL accession numbers; (ii) uploading a local file with such accession numbers; (iii) entering protein sequences; (iv) uploading a local file containing protein sequences in FASTA format. Automated updates are scheduled for the pre-calculated prediction database so as to provide access to the most current data. The server, its documentation and the data are available from http://mitopred.sdsc.edu.

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Year:  2004        PMID: 15215413      PMCID: PMC441512          DOI: 10.1093/nar/gkh374

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  9 in total

1.  PSORT: a program for detecting sorting signals in proteins and predicting their subcellular localization.

Authors:  K Nakai; P Horton
Journal:  Trends Biochem Sci       Date:  1999-01       Impact factor: 13.807

2.  Prediction of Mitochondrial Targeting Signals Using Hidden Markov Model.

Authors: 
Journal:  Genome Inform Ser Workshop Genome Inform       Date:  1997

3.  A Bayesian system integrating expression data with sequence patterns for localizing proteins: comprehensive application to the yeast genome.

Authors:  A Drawid; M Gerstein
Journal:  J Mol Biol       Date:  2000-08-25       Impact factor: 5.469

4.  Global analysis of protein localization in budding yeast.

Authors:  Won-Ki Huh; James V Falvo; Luke C Gerke; Adam S Carroll; Russell W Howson; Jonathan S Weissman; Erin K O'Shea
Journal:  Nature       Date:  2003-10-16       Impact factor: 49.962

5.  MITOPRED: a genome-scale method for prediction of nucleus-encoded mitochondrial proteins.

Authors:  Chittibabu Guda; Eoin Fahy; Shankar Subramaniam
Journal:  Bioinformatics       Date:  2004-03-22       Impact factor: 6.937

6.  Computational method to predict mitochondrially imported proteins and their targeting sequences.

Authors:  M G Claros; P Vincens
Journal:  Eur J Biochem       Date:  1996-11-01

7.  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

8.  Subcellular localization of the yeast proteome.

Authors:  Anuj Kumar; Seema Agarwal; John A Heyman; Sandra Matson; Matthew Heidtman; Stacy Piccirillo; Lara Umansky; Amar Drawid; Ronald Jansen; Yang Liu; Kei-Hoi Cheung; Perry Miller; Mark Gerstein; G Shirleen Roeder; Michael Snyder
Journal:  Genes Dev       Date:  2002-03-15       Impact factor: 11.361

9.  Predicting subcellular localization of proteins based on their N-terminal amino acid sequence.

Authors:  O Emanuelsson; H Nielsen; S Brunak; G von Heijne
Journal:  J Mol Biol       Date:  2000-07-21       Impact factor: 5.469

  9 in total
  35 in total

Review 1.  Physiology of potassium channels in the inner membrane of mitochondria.

Authors:  Ildikò Szabò; Luigi Leanza; Erich Gulbins; Mario Zoratti
Journal:  Pflugers Arch       Date:  2011-11-18       Impact factor: 3.657

2.  Proteome profile of functional mitochondria from human skeletal muscle using one-dimensional gel electrophoresis and HPLC-ESI-MS/MS.

Authors:  Natalie Lefort; Zhengping Yi; Benjamin Bowen; Brian Glancy; Eleanna A De Filippis; Rebekka Mapes; Hyonson Hwang; Charles R Flynn; Wayne T Willis; Anthony Civitarese; Kurt Højlund; Lawrence J Mandarino
Journal:  J Proteomics       Date:  2009-06-28       Impact factor: 4.044

3.  A molecular chaperone for mitochondrial complex I assembly is mutated in a progressive encephalopathy.

Authors:  Isla Ogilvie; Nancy G Kennaway; Eric A Shoubridge
Journal:  J Clin Invest       Date:  2005-10       Impact factor: 14.808

4.  A novel mitochondrial K(ATP) channel assay.

Authors:  Andrew P Wojtovich; David M Williams; Marcin K Karcz; Coeli M B Lopes; Daniel A Gray; Keith W Nehrke; Paul S Brookes
Journal:  Circ Res       Date:  2010-02-25       Impact factor: 17.367

Review 5.  Physiological consequences of complex II inhibition for aging, disease, and the mKATP channel.

Authors:  Andrew P Wojtovich; C Owen Smith; Cole M Haynes; Keith W Nehrke; Paul S Brookes
Journal:  Biochim Biophys Acta       Date:  2013-01-02

6.  Two closely related genes of Arabidopsis encode plastidial cytidinediphosphate diacylglycerol synthases essential for photoautotrophic growth.

Authors:  André Haselier; Hana Akbari; Agnes Weth; Werner Baumgartner; Margrit Frentzen
Journal:  Plant Physiol       Date:  2010-05-04       Impact factor: 8.340

7.  Mice have a transcribed L-threonine aldolase/GLY1 gene, but the human GLY1 gene is a non-processed pseudogene.

Authors:  Alasdair J Edgar
Journal:  BMC Genomics       Date:  2005-03-09       Impact factor: 3.969

8.  PGAM5 tethers a ternary complex containing Keap1 and Nrf2 to mitochondria.

Authors:  Shih-Ching Lo; Mark Hannink
Journal:  Exp Cell Res       Date:  2008-03-05       Impact factor: 3.905

9.  A founder mutation in PET100 causes isolated complex IV deficiency in Lebanese individuals with Leigh syndrome.

Authors:  Sze Chern Lim; Katherine R Smith; David A Stroud; Alison G Compton; Elena J Tucker; Ayan Dasvarma; Luke C Gandolfo; Justine E Marum; Matthew McKenzie; Heidi L Peters; David Mowat; Peter G Procopis; Bridget Wilcken; John Christodoulou; Garry K Brown; Michael T Ryan; Melanie Bahlo; David R Thorburn
Journal:  Am J Hum Genet       Date:  2014-01-23       Impact factor: 11.025

10.  In Silico screening for functional candidates amongst hypothetical proteins.

Authors:  Claus Desler; Prashanth Suravajhala; May Sanderhoff; Merete Rasmussen; Lene Juel Rasmussen
Journal:  BMC Bioinformatics       Date:  2009-09-16       Impact factor: 3.169

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