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predict_ss

This repository contains an example notebook for secondary structure prediction with support vector machine.

Licese of data set

Set2018 data was developed in a paper, PLOS ONE doi: 10.1371/journal.pone.0232528, by Maxim Shapovalov, Roland L. Dunbrack Jr., Slobodan Vucetic.

Copyrighted by Maxim Shapovalov, Roland L. Dunbrack, Jr., Slobodan Vucetic.

Redistributed under the follwoing license:

License
#######
SecNet, template-free protein secondary structure prediction software
Copyright (c) 2018-2019, Maxim Shapovalov (1,2), Roland L. Dunbrack, Jr. (1,^), Slobodan Vucetic (2,^)
All rights reserved.

(1): Fox Chase Cancer Center, 333 Cottman Avenue, Philadelphia PA 19111, USA
(2): Temple University, 1801 N Broad Street, Philadelphia PA 19122, USA
(^): Corresponding Authors, roland dot dunbrack at fccc dot edu and vucetic at temple dot edu

BSD 3-Clause License

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* Redistributions of source code must retain the above copyright notice, this
  list of conditions and the following disclaimer.

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* Neither the name of the copyright holder nor the names of its
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  this software without specific prior written permission.
 
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