Prediction of amyloid fibrillar aggregates of polypeptide sequences

A soft computing approach

Smitha Sunil Kumaran Nair, N. V.Subba Reddy, K. S. Hareesha, Sunil Kumaran S. Nair

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The deposition of amyloid fibrillar aggregates in human brain results in amyloid illnesses. As these aggregates may spread like virus, it is of primary importance to spot such motif regions in protein sequences. Limitations of molecular techniques in identifying them offer sophisticated computational methods for their efficient retrieval. In this paper we tried to enhance the prediction performance of computational approaches by the union of machine learning algorithms: an approach from a soft computing perspective. A filter based dimensionality reduction algorithm has been utilized on the extracted features to obtain a minimal feature subset for Decision tree classification. The filter approach is a multivariate statistical analysis based on the mutual information which is a mixed measure of maximum Relevance and Minimum Redundancy of features. We performed stratified 10-fold cross-validation test to objectively evaluate the accuracy of the predictor.

Original languageEnglish
Title of host publicationProceedings of the World Congress on Engineering 2013, WCE 2013
Pages1351-1353
Number of pages3
Volume2 LNECS
Publication statusPublished - 2013
Event2013 World Congress on Engineering, WCE 2013 - London, United Kingdom
Duration: 03-07-201305-07-2013

Conference

Conference2013 World Congress on Engineering, WCE 2013
CountryUnited Kingdom
CityLondon
Period03-07-1305-07-13

Fingerprint

Soft computing
Polypeptides
Decision trees
Computational methods
Viruses
Learning algorithms
Redundancy
Learning systems
Brain
Statistical methods
Proteins
Amyloid

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)

Cite this

Nair, S. S. K., Reddy, N. V. S., Hareesha, K. S., & Nair, S. K. S. (2013). Prediction of amyloid fibrillar aggregates of polypeptide sequences: A soft computing approach. In Proceedings of the World Congress on Engineering 2013, WCE 2013 (Vol. 2 LNECS, pp. 1351-1353)
Nair, Smitha Sunil Kumaran ; Reddy, N. V.Subba ; Hareesha, K. S. ; Nair, Sunil Kumaran S. / Prediction of amyloid fibrillar aggregates of polypeptide sequences : A soft computing approach. Proceedings of the World Congress on Engineering 2013, WCE 2013. Vol. 2 LNECS 2013. pp. 1351-1353
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Nair, SSK, Reddy, NVS, Hareesha, KS & Nair, SKS 2013, Prediction of amyloid fibrillar aggregates of polypeptide sequences: A soft computing approach. in Proceedings of the World Congress on Engineering 2013, WCE 2013. vol. 2 LNECS, pp. 1351-1353, 2013 World Congress on Engineering, WCE 2013, London, United Kingdom, 03-07-13.

Prediction of amyloid fibrillar aggregates of polypeptide sequences : A soft computing approach. / Nair, Smitha Sunil Kumaran; Reddy, N. V.Subba; Hareesha, K. S.; Nair, Sunil Kumaran S.

Proceedings of the World Congress on Engineering 2013, WCE 2013. Vol. 2 LNECS 2013. p. 1351-1353.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Nair SSK, Reddy NVS, Hareesha KS, Nair SKS. Prediction of amyloid fibrillar aggregates of polypeptide sequences: A soft computing approach. In Proceedings of the World Congress on Engineering 2013, WCE 2013. Vol. 2 LNECS. 2013. p. 1351-1353