Proceeding talk – Theme: Proteins.
Abstract
PRED-TMBB was presented for the first time in 2004 and is one of the most cited methods regarding the topology prediction and detection of beta-barrel outer membrane proteins. Here, we present an update to this method, PRED-TMBB2, which contains several new features that improve its performance significantly. The major difference is the incorporation of evolutionary information in the form of Multiple Sequence Alignments (MSAs), which drastically improves the topology prediction capability and makes it able to achieve higher performance compared to all other available methods. At the same time, the single-sequence version of PRED-TMBB2 manages to perform better than almost all methods regarding detection of beta-barrel proteins in large datasets, outperforming even methods that use MSAs and are much slower. The combination of single- and multiple-sequence version of PRED-TMBB2 is something unique and we anticipate it will be of great interest to researchers in this field.
Authors
Konstantinos D. Tsirigos, Department of Biochemistry and Biophysics / Stockholm University, Sweden
Arne Elofsson, Department of Biochemistry and Biophysics / Stockholm University, Sweden
Pantelis G. Bagos, Department of Computer Science and Biomedical Informatics / University of Thessaly, Greece