Presep: predicting the propensity of a protein being secreted into the supernatant when expressed in Pichia pastoris.

ABSTRACT: Pichia pastoris is commonly used for the production of recombinant proteins due to its preferential secretion of recombinant proteins, resulting in lower production costs and increased yields of target proteins. However, not all recombinant proteins can be successfully secreted in P. pastoris. A computational method that predicts the likelihood of a protein being secreted into the supernatant would be of considerable value; however, to the best of our knowledge, no such tool has yet been developed. We present a machine-learning approach called Presep to assess the likelihood of a recombinant protein being secreted by P. pastoris based on its pseudo amino acid composition (PseAA). Using a 20-fold cross validation, Presep demonstrated a high degree of accuracy, with Matthews correlation coef

SUBMITTER: Tian J 

PROVIDER: S-EPMC3836778 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature