Accurate Prediction of One-Dimensional Protein Structure Features Using SPINE-X

Eshel Faraggi,Andrzej Kloczkowski

doi:10.1007/978-1-4939-6406-2_5

Accurate Prediction of One-Dimensional Protein Structure Features Using SPINE-X

Eshel Faraggi, Andrzej Kloczkowski

https://doi.org/10.1007/978-1-4939-6406-2_5

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Publication Date: Oct 28, 2016

Citations: 1

Affiliation: NCI Information Systems (United States), Indiana University – Purdue University Indianapolis, Nationwide Children's Hospital, Battelle, The Ohio State University

#Prediction Of Protein Secondary Structure #Secondary Structure Features + Show 8 more

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Abstract

Accurate prediction of protein secondary structure and other one-dimensional structure features is essential for accurate sequence alignment, three-dimensional structure modeling, and function prediction. SPINE-X is a software package to predict secondary structure as well as accessible surface area and dihedral angles ϕ and ψ. For secondary structure SPINE-X achieves an accuracy of between 81 and 84 % depending on the dataset and choice of tests. The Pearson correlation coefficient for accessible surface area prediction is 0.75 and the mean absolute error from the ϕ and ψ dihedral angles are 20∘ and 33∘, respectively. The source code and a Linux executables for SPINE-X are available from Research and Information Systems at http://mamiris.com .

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