Cargando…
Probabilistic Approach to Predicting Substrate Specificity of Methyltransferases
We present a general probabilistic framework for predicting the substrate specificity of enzymes. We designed this approach to be easily applicable to different organisms and enzymes. Therefore, our predictive models do not rely on species-specific properties and use mostly sequence-derived data. Ma...
Autores principales: | Szczepińska, Teresa, Kutner, Jan, Kopczyński, Michał, Pawłowski, Krzysztof, Dziembowski, Andrzej, Kudlicki, Andrzej, Ginalski, Krzysztof, Rowicka, Maga |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3961171/ https://www.ncbi.nlm.nih.gov/pubmed/24651469 http://dx.doi.org/10.1371/journal.pcbi.1003514 |
Ejemplares similares
-
Comprehensive Structural and Substrate Specificity Classification of the Saccharomyces cerevisiae Methyltransferome
por: Wlodarski, Tomasz, et al.
Publicado: (2011) -
Predicting proteome dynamics using gene expression data
por: Kuchta, Krzysztof, et al.
Publicado: (2018) -
Strategies for Achieving High Sequencing Accuracy for Low Diversity Samples and Avoiding Sample Bleeding Using Illumina Platform
por: Mitra, Abhishek, et al.
Publicado: (2015) -
Biochemical and structural bioinformatics studies of fungal CutA nucleotidyltransferases explain their unusual specificity toward CTP and increased tendency for cytidine incorporation at the 3′-terminal positions of synthesized tails
por: Kobyłecki, Kamil, et al.
Publicado: (2017) -
i-BLESS is an ultra-sensitive method for detection of DNA double-strand breaks
por: Biernacka, Anna, et al.
Publicado: (2018)