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Predicting sulfotyrosine sites using the random forest algorithm with significantly improved prediction accuracy
BACKGROUND: Tyrosine sulfation is one of the most important posttranslational modifications. Due to its relevance to various disease developments, tyrosine sulfation has become the target for drug design. In order to facilitate efficient drug design, accurate prediction of sulfotyrosine sites is des...
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| Formato: | Texto |
| Lenguaje: | English |
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BioMed Central
2009
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2777180/ https://www.ncbi.nlm.nih.gov/pubmed/19874585 http://dx.doi.org/10.1186/1471-2105-10-361 |