Chapter title |
Accurate Prediction of One-Dimensional Protein Structure Features Using SPINE-X
|
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Chapter number | 5 |
Book title |
Prediction of Protein Secondary Structure
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-6406-2_5 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6404-8, 978-1-4939-6406-2
|
Authors |
Eshel Faraggi, Andrzej Kloczkowski |
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 . |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 2 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 1 | 50% |
Researcher | 1 | 50% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 1 | 50% |
Computer Science | 1 | 50% |