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                <identifier>oai:data.mendeley.com/zmzzv9k2tv.1</identifier>
                <datestamp>2018-12-06T17:55:43Z</datestamp>
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            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>Naghibzadeh, Mahmoud</dc:creator>
    <dc:title>Data for: BetaDL: a Protein Beta-sheet Predictor Utilizing a Deep Learning Model and Independent Set Solution</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>=======================================
BetaDL: a Protein Beta-sheet Predictor Utilizing a Deep Learning Model and Independent Set Solution 
Prediction of beta-sheet structures (beta-residue contacts, beta-strand pairs, beta-strand pairing directions)
=======================================
Knowledge Engineering Research Group (KERG), Department of Computer Engineering,
Faculty of Engineering, Ferdowsi University of Mashhad, Iran. 
Home page: https://kerg.um.ac.ir/  
Contact: Dehgani.toktam@mail.um.ac.ir; naghibzadeh@um.ac.ir 
======================================= 
Input:
In order to run BetaDL the following information must be provided:
1. Protein sequence and secondary structure assignment
2. A residue contact Probabilities matrix
3. Probability model for beta-sheet size respect to the number of beta-strands in proteins

Output:
BetaDL will predict the following information about beta sheet structure:
1. Beta-residue contact maps
2. Beta-strand pairs
3. Beta-strand pairing directions
=======================================
Installation (Windows Version) and usage:
1. Unzip &quot;BetaDL_package.rar&quot; into the &quot;BetaDL_package&quot; folder
2. Compile and build the source codes in &quot;BetaDL&quot; folder and move &quot;BetaDL.exe&quot; to the BetaDL_package 
3. Provide input files:
    Residue contact Probabilities in the &quot;residue contact probabilities&quot; folder, e.g. &quot;\residue contact probabilities\1e5ka.GCNN&quot;
    Sequence and secondary structure in the &quot;secondary structures&quot; folder, e.g. &quot;\secondary structures\1e5ka.out&quot;
4. Run &quot;BetaDL.exe&quot; 
5. Output file:
    Beta-residue contact probabilities, e.g. &quot;\test\1e5ka_DeepBBContact.out&quot;
    Beta-residue pairwise alignments, e.g. &quot;\test\1e5ka_alignmnet.out&quot;
    Beta-residue contact maps, &quot;e.g. \test\1e5ka_contactmap.out&quot;
    Beta-sheet structure, e.g. &quot;\test\1e5ka_conformation.out&quot;
****The correct answer for the sample protein (1e5ka) can be found in following address:    &quot;\correct_beta_sheet_structure\1e5ka_correct.out&quot;
Enjoy it!
=======================================
For more information please contact:
Dehgani.toktam@mail.um.ac.ir; naghibzadeh@um.ac.ir 
</dc:description>
    <dc:subject>Protein Secondary Structure</dc:subject>
    <dc:subject>Predictor</dc:subject>
    <dc:subject>Protein Structure</dc:subject>
    <dc:subject>Database</dc:subject>
    <dc:contributor>Dehghani, Toktam</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/zmzzv9k2tv.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/zmzzv9k2tv.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
    <dc:rights>http://creativecommons.org/licenses/by/4.0</dc:rights>
    <dc:relation>https://data.mendeley.com/datasets/zmzzv9k2tv</dc:relation>
    <dc:date>2018-12-06T17:55:43Z</dc:date>
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