Literature DB >> 9067612

Relation between amino acid composition and cellular location of proteins.

J Cedano1, P Aloy, J A Pérez-Pons, E Querol.   

Abstract

A correlation analysis of the amino acid composition and the cellular location of a protein is presented. The statistical analysis discriminates among the following five protein classes: integral membrane proteins, anchored membrane proteins, extracellular proteins, intracellular proteins and nuclear proteins. This segregation into protein classes related to their location can help researchers to design experimental work for testing hypotheses in order to find out the functionality of a reading frame in search of function. A program (ProtLock) to predict the cellular location of a protein has been designed.

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Year:  1997        PMID: 9067612     DOI: 10.1006/jmbi.1996.0804

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  81 in total

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2.  TrSDB: a proteome database of transcription factors.

Authors:  Antoni Hermoso; Daniel Aguilar; Francesc X Aviles; Enrique Querol
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

3.  Predicting subcellular localization of proteins for Gram-negative bacteria by support vector machines based on n-peptide compositions.

Authors:  Chin-Sheng Yu; Chih-Jen Lin; Jenn-Kang Hwang
Journal:  Protein Sci       Date:  2004-05       Impact factor: 6.725

4.  Prediction of the types of membrane proteins based on discrete wavelet transform and support vector machines.

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Authors:  Kemper Talley; Emil Alexov
Journal:  Proteins       Date:  2010-09

6.  Combining machine learning and homology-based approaches to accurately predict subcellular localization in Arabidopsis.

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Journal:  Plant Physiol       Date:  2010-07-20       Impact factor: 8.340

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Authors:  Nelson Perdigão; Julian Heinrich; Christian Stolte; Kenneth S Sabir; Michael J Buckley; Bruce Tabor; Beth Signal; Brian S Gloss; Christopher J Hammang; Burkhard Rost; Andrea Schafferhans; Seán I O'Donoghue
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-17       Impact factor: 11.205

8.  A novel representation of protein sequences for prediction of subcellular location using support vector machines.

Authors:  Setsuro Matsuda; Jean-Philippe Vert; Hiroto Saigo; Nobuhisa Ueda; Hiroyuki Toh; Tatsuya Akutsu
Journal:  Protein Sci       Date:  2005-11       Impact factor: 6.725

9.  Using fourier spectrum analysis and pseudo amino acid composition for prediction of membrane protein types.

Authors:  Hui Liu; Jie Yang; Meng Wang; Li Xue; Kuo-Chen Chou
Journal:  Protein J       Date:  2005-08       Impact factor: 2.371

10.  Proteomics in Vaccinology and Immunobiology: An Informatics Perspective of the Immunone.

Authors:  Irini A. Doytchinova; Paul Taylor; Darren R. Flower
Journal:  J Biomed Biotechnol       Date:  2003
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