SOLpro predicts the propensity of a protein to be soluble upon overexpression in E. coli using a two-stage SVM architecture based on multiple representations of the primary sequence. Each classifier of the first layer takes as input a distinct set of features describing the sequence. A final SVM classifier summarizes the resulting predictions and predicts if the protein is soluble or not as well as the corresponding probability.
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Magnan CN, Randall A, Baldi P.
SOLpro: accurate sequence-based prediction of protein solubility.
Bioinformatics. 2009 Sep 1;25(17):2200-7. Epub 2009 Jun 23.