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 app...

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Bibliographic Details
Published in:	2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) pp. 262 - 267
Main Authors:	Zhijun Wang, Qiangyan Pan, Lifeng Yang, Chunyan Xu, Feng Yu, Liang Li, Jianhua He
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-08-2014
Subjects:	Accuracy adaptive neuro-fuzzy inference systems Amino acids Bioinformatics Biomembranes outer membrane protein Protein sequence protein sequence index recognition Vectors
Online Access:	Get full text
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Summary:	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.
DOI:	10.1109/FSKD.2014.6980843