Recognition of outer membrane proteins using adaptive neuro-fuzzy inference systems

Recognition of outer membrane proteins (OMPs) from non-OMPs (global protein or inner protein) is one of the most important tasks in the field of computational biology and bioinformatics. Successful discrimination of OMPs from other types of proteins would help to identify new OMPs for biological applications. In this article, protein sequence index (PSI) and dipeptide motifs were applied to recognize OMPs from non-OMPs using adaptive neuro-fuzzy inference systems (ANFIS), results show that ANFIS can recognize OMPs from non-OMPs with high accuracy, and our method only depended on amino acid sequence.