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Articles selected by Faculty of 1000: proteomics of PH domains; machine-learning prediction of RNA-binding proteins; coated vesicle proteomics; classifying protein domain combinations; amino acid usage within proteomes
Genome Biology volume 5, Article number: 321 (2004)
Summary
A selection of evaluations from Faculty of 1000 covering the proteomics of PH domains; machine-learning prediction of RNA-binding proteins; coated vesicle proteomics; classifying protien domain combinations; amino acid usage within proteomes.
Proteomics of PH domains
Genome-Wide Analysis of Membrane Targeting by S. cerevisiae Pleckstrin Homology Domains. Yu JW, Mendrola JM, Audhya A, Singh S, Keleti D, DeWald DB, Murray D, Emr SD, Lemmon MA. Mol Cell 2004, 13:677-688.
For the Faculty of 1000 evaluation of this article please see: http://genomebiology.com/reports/F1000/gb-2004-5-4-321.asp#Yu
Machine-learning prediction of RNA-binding proteins
Prediction of RNA-binding proteins from primary sequence by a support vector machine approach. Han LY, Cai CZ, Lo SL, Chung MC, Chen YZ. RNA 2004, 10:355-368.
For the Faculty of 1000 evaluation of this article please see: http://genomebiology.com/reports/F1000/gb-2004-5-4-321.asp#Han
Coated vesicle proteomics
Tandem MS analysis of brain clathrin-coated vesicles reveals their critical involvement in synaptic vesicle recycling. Blondeau F, Ritter B, Allaire PD, Wasiak S, Girard M, Hussain NK, Angers A, Legendre-Guillemin V, Roy L, Boismenu D, Kearney RE, Bell AW, Bergeron JJ, McPherson PS. Proc Natl Acad Sci USA 2004, March 8.
For the Faculty of 1000 evaluation of this article please see: http://genomebiology.com/reports/F1000/gb-2004-5-4-321.asp#Blondeau
Classifying protein domain combinations
Supra-domains: Evolutionary Units Larger than Single Protein Domains. Vogel C, Berzuini C, ... , Gough J, Teichmann SA. J Mol Biol 2004, 336:809-823.
For the Faculty of 1000 evaluation of this article please see: http://genomebiology.com/reports/F1000/gb-2004-5-4-321.asp#Vogel
Amino acid usage within proteomes
Intimate evolution of proteins. Proteome atomic content correlates with genome base composition. Baudouin-Cornu P, Schuerer K, Marlière P, Thomas D J Biol Chem 2004, 279:5421-5428.
For the Faculty of 1000 evaluation of this article please see: http://genomebiology.com/reports/F1000/gb-2004-5-4-321.asp#Baudouin-Cornu
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The Author(s). Articles selected by Faculty of 1000: proteomics of PH domains; machine-learning prediction of RNA-binding proteins; coated vesicle proteomics; classifying protein domain combinations; amino acid usage within proteomes. Genome Biol 5, 321 (2004). https://doi.org/10.1186/gb-2004-5-4-321
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DOI: https://doi.org/10.1186/gb-2004-5-4-321
Keywords
- Support Vector Machine
- Pleckstrin Homology
- Pleckstrin Homology Domain
- Amino Acid Usage
- Support Vector Machine Approach