Discriminating outer membrane proteins (OMPs) from other folding types of 
globular and membrane proteins is an important task both for identifying OMPs 
from genomic sequences and for the successful prediction of their secondary and 
tertiary structures. We have developed a method based on radial basis function 
networks and position specific scoring matrix (PSSM) profiles generated by 
PSI-BLAST and non-redundant protein database. Our approach with PSSM profiles 
has correctly predicted the OMPs with a cross-validated accuracy of 96.4% in a 
set of 1251 proteins, which contain 206 OMPs, 667 globular proteins and 378 
alpha-helical inner membrane proteins. Furthermore, we applied our method on a 
dataset containing 114 OMPs, 187 TMH proteins and 195 globular proteins obtained 
with less than 20% sequence identity and obtained the cross-validated accuracy 
of 95%. This accuracy of discriminating OMPs is higher than other methods in the 
literature and our method could be used as an effective tool for dissecting OMPs 
from genomic sequences. We have developed a prediction server, TMBETADISC-RBF, 
which is available at http://rbf.bioinfo.tw/~sachen/OMP.html.