Proteins associated with diseases show enhanced sequence correlation between charged residues
- Author
- DIMA, Ruxandra I1 ; THIRUMALAI, D1
[1] Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742, United States - Source
Bioinformatics (Oxford. Print). 2004, Vol 20, Num 15, pp 2345-2354, 10 p ; ref : 32 ref
- ISSN
- 1367-4803
- Scientific domain
- Bioinformatics
- Publisher
- Oxford University Press, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Keyword (fr)
- Analyse structurale Communication Corrélation Maladie Méthode analyse Protéine Prédiction Séquence aminoacide Association genetique Bioinformatique
- Keyword (en)
- Structural analysis Communication Correlation Disease Analysis method Protein Prediction Aminoacid sequence Bioinformatics
- Keyword (es)
- Análisis estructural Comunicación Correlación Enfermedad Método análisis Proteína Predicción Secuencia aminoácido Bioinformática
- Classification
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A01 General aspects / 002A01B Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)
- Discipline
- Biological sciences. Generalities. Modelling. Methods Generalities in biological sciences
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 16398648
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1093/bioinformatics/bth245 
https://dx.doi.org/10.1093/bioinformatics/bth245
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