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    <title>secondary structure on Sparks Lab</title>
    <link>/tags/secondary-structure/</link>
    <description>Recent content in secondary structure on Sparks Lab</description>
    <generator>Hugo -- gohugo.io</generator>
    <lastBuildDate>Mon, 10 Feb 2020 00:00:00 +0000</lastBuildDate>
    
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      <title>SPIDER3: Capturing non-local interactions by long short term memory bidirectional recurrent neural networks for improving prediction of protein secondary structure, backbone angles, contact numbers, and solvent accessibility</title>
      <link>/server/spider3/</link>
      <pubDate>Mon, 10 Feb 2020 00:00:00 +0000</pubDate>
      
      <guid>/server/spider3/</guid>
      <description>Our resources are limited. If you wish to run several batches per day please make use of the downloadable package or contact the administrator directly.
  E-mail address (optional):    Target (optional):    Input your protein Sequences:  Maximum: 10 sequences at a time (FASTA format)   &amp;gt;Example: 6KIL_A RGSATDTAATTGTASPDEPLYVQGQTELDDVTSDNDVVLADFYADWCGPCQMLEPVVETLAEQTDAAVAKIDVDENQALASAYGVRGVPTLVLFADGEQVEEVVGLQDEDALKDLIESYTELVP     
Check the Job Queue Status  
## Example output</description>
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    <item>
      <title>SPOT-1D-LM:Reaching Alignment-profile-based Accuracy in Predicting Protein Secondary and Tertiary Structural Properties without Alignment</title>
      <link>/server/spot-1d-lm/</link>
      <pubDate>Mon, 10 Feb 2020 00:00:00 +0000</pubDate>
      
      <guid>/server/spot-1d-lm/</guid>
      <description>Our resources are limited. If you wish to run several batches per day please make use of the downloadable package or contact the administrator directly. -- The model only take upto a maximum of 1022 amino acid sequence. --  Currently, the Webserver is down until further notice. Please refer to the GITHUB for the local standalone.
  E-mail address:    Target (optional):    Input your protein Sequences:  Maximum: 100 sequences at a time.</description>
    </item>
    
    <item>
      <title>SPOT-1D-Single: Improving the Single-Sequence-Based Prediction of Protein Secondary Structure, Backbone Angles, Solvent Accessibility and Half-Sphere Exposures using a Large Training Set and Ensembled Deep Learning</title>
      <link>/server/spot-1d-single/</link>
      <pubDate>Mon, 10 Feb 2020 00:00:00 +0000</pubDate>
      
      <guid>/server/spot-1d-single/</guid>
      <description>Our resources are limited. If you wish to run several batches per day please make use of the downloadable package or contact the administrator directly.
  E-mail address:    Target (optional):    Input your protein Sequences:  Maximum: 100 sequences at a time. Single Line Sequence only and &amp;ldquo;&amp;gt;prot_id&amp;rdquo;only (FASTA format)   &amp;gt;6KIL_A RGSATDTAATTGTASPDEPLYVQGQTELDDVTSDNDVVLADFYADWCGPCQMLEPVVETLAEQTDAAVAKIDVDENQALASAYGVRGVPTLVLFADGEQVEEVVGLQDEDALKDLIESYTELVP     
Check the Job Queue Status</description>
    </item>
    
    <item>
      <title>SPOT-1D: Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and residual convolutional neural networks</title>
      <link>/server/spot-1d/</link>
      <pubDate>Mon, 10 Feb 2020 00:00:00 +0000</pubDate>
      
      <guid>/server/spot-1d/</guid>
      <description>Our resources are limited. If you wish to run several batches per day please make use of the downloadable package or contact the administrator directly.
  E-mail address (optional):    Target (optional):    Input your protein Sequences:  Maximum: 10 sequences at a time, less than 750AA each (FASTA format)   &amp;gt;Example: 6KIL_A RGSATDTAATTGTASPDEPLYVQGQTELDDVTSDNDVVLADFYADWCGPCQMLEPVVETLAEQTDAAVAKIDVDENQALASAYGVRGVPTLVLFADGEQVEEVVGLQDEDALKDLIESYTELVP     
Check the Job Queue Status</description>
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