Najafabadi Hamed Shateri, Salavati Reza
Institute of Parasitology, McGill University, Lakeshore Road, Ste, Anne de Bellevue, Montreal, Quebec H9X 3V9, Canada.
Genome Biol. 2008;9(5):R87. doi: 10.1186/gb-2008-9-5-r87. Epub 2008 May 23.
We introduce a novel approach to predict interaction of two proteins solely by analyzing their coding sequences. We found that similarity in codon usage is a strong predictor of protein-protein interactions and, for high specificity values, is as sensitive as the most powerful current prediction methods. Furthermore, combining codon usage with other predictors results in a 75% increase in sensitivity at a precision of 50%, compared to prediction without considering codon usage.
我们引入了一种全新的方法，仅通过分析两种蛋白质的编码序列来预测它们之间的相互作用。我们发现密码子使用的相似性是蛋白质-蛋白质相互作用的有力预测指标，对于高特异性值而言，其敏感性与当前最强大的预测方法相当。此外，与不考虑密码子使用的预测相比，将密码子使用与其他预测指标相结合，在精度为50%时，敏感性提高了75%。
