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A Comparative Study on Filtering Protein Secondary Structure Prediction

TitleA Comparative Study on Filtering Protein Secondary Structure Prediction
Publication TypeJournal Article
Year of Publication2012
AuthorsKountouris, P., M. Agathocleous, V. J. Promponas, G. Christodoulou, S. Hadjicostas, V. Vassiliades, and C. Christodoulou
JournalComputational Biology and Bioinformatics, IEEE/ACM Transactions on
VolumePP
Pagination1
ISSN1545-5963
Keywordsbidirectional recurrent neural networks, filtering, machine learning, protein secondary structure prediction, structural bioinformatics
Abstract

Filtering of protein secondary structure prediction aims to provide physicochemically realistic results, while it usually improves the predictive performance. We performed a comparative study on this challenging problem, utilising both machine learning techniques and empirical rules and we found that combinations of the two lead to the highest improvement.

URLhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6138848
DOI10.1109/TCBB.2012.22


by Dr. Radut.