The TANGO software allows to predict protein aggregation based on a statistical mechanics algorithm. It is based on the physico-chemical principles of beta-sheet formation, extended by the assumption that the core regions of an aggregate are fully buried. The algorithm accurately predicts the aggregation of a data set of 179 peptides compiled from the literature as well as of a new set of 71 peptides derived from human disease-related proteins, including prion protein, lysozyme and beta2-microglobulin. Tango sets the stage for fully automated, sequence-based design strategy to improve the aggregation properties of proteins of scientific or industrial interest.
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