An inventory of the Aspergillus niger secretome

Protein secretion usually requires the presence of a N- terminal signal peptide (SP) and by scanning for this feature using available highly accurate SP-prediction tools, the fraction of potentially secreted proteins can be directly predicted. We were able to improve the in silico inventory of Aspergillus niger secretory proteins by combining different gene-model predictions from neighbouring Aspergilli and thereby avoiding prediction conflicts associated with inaccurate gene-models. An experimental validation of the predicted proteome confirmed in silico predictions.