NN approach and its comparison with NN-SVM to beta-barrel prediction

作者：

Highlights：

• For single protein tests NN-SVM produced an accuracy of 94.51%.

• NN-SVM produced better results than NN.

• With 5 residue overlap NN-SVM performed better than NN.

摘要

•For single protein tests NN-SVM produced an accuracy of 94.51%.•NN-SVM produced better results than NN.•With 5 residue overlap NN-SVM performed better than NN.

论文关键词：Beta barrel prediction,Protein analysis,Neural Networks,Support vector machine

论文评审过程：Received 7 December 2015, Revised 13 May 2016, Accepted 13 May 2016, Available online 16 May 2016, Version of Record 2 June 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.05.025