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1. Punta M, Love J, Kloss B, Bruni R, Hillerich B, Mancia F, Shapiro L, Hendrickson WA, Rost B Using Support Vector Machines to predict expression-purification success of recombinant integral membrane proteins in Escherichia coli Meeting: Proceedings of BITS 2010 Meeting - Year: 2010 Full text in a new tab Topic: Proteomics Abstract: Missing |
2. Punta M, Rost B PROFcon: prediction of internal protein contacts Meeting: BITS 2005 - Year: 2005 Full text in a new tab Topic: Structural Bioinformatics Abstract: Novel and more efficient structural prediction methods are needed in order to reduce the everincreasing gap between the number of known protein sequences and structures. Better predictions of non-local contacts between residues could help improve fold recognition and de novo modeling. In the present study, we introduce PROFcon, a novel contact prediction method based on a neural network that combines information from various sources. PROFcon predictions are then used to estimate experimental folding rates of two-state proteins (i.e. proteins that fold without intermediate states). |