Body: <p>There are several secondary structure prediction algorithms. I am interested in the algorithms which predict secondary structure <strong>without</strong> accessing the PDB to cheat by using the DSSP or STRIDE entry for known homologous structures.</p>
  
  <p>Since DSSP and STRIDE are not performing predictions, rather they analyse the PDB structure to determine whether each residue is a helix, strand or coil.  This in turn means that, the 'so called' secondary structure prediction algorithm, also, is not performing predictions (except, of course, in the cases where no homologous structure/sequence is found in the PDB).</p>
  
  <p>Which secondary structure prediction algorithms don't cheat by using DSSP or STRIDE for homologous structures?</p>
  
  <p>Here is a list of secondary structure prediction algorithms, which are accessible via a consensus secondary structure prediction server called @NPS (currently down: <a href="https://npsa-prabi.ibcp.fr/NPSA/npsa_seccons.html" rel="nofollow noreferrer">https://npsa-prabi.ibcp.fr/NPSA/npsa_seccons.html</a>)</p>
  
  <pre><code>DPM
  DSC
  GOR1
  GOR3
  HNN
  MPSA
  PHD
  PREDA
  SOPM
  </code></pre>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2018-07-01T17:57:42.167Z
Comments.Text: Have you tried googling for `ab initio secondary structure prediction`?
Comments.UserDisplayName: Devon Ryan
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2018-07-01T18:45:26.553Z
Comments.Text: @DevonRyan It is a good idea, and doing so does provide some useful information.  However, ab initio modelling is not what I am interested in.  Use of knowledge is fine, only it should be generalised, not a specific query to the PDB and DSSP for a specific sequence - in such case, no prediction is performed, only cheating i.e. an ~100% accurate answer.
Comments.UserDisplayName: Aalawlx
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2018-07-01T19:15:59.173Z
Comments.Text: If using knowledge is fine the querying PDB and such when possible is in no way cheating.
Comments.UserDisplayName: Devon Ryan
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2018-07-02T08:37:16.793Z
Comments.Text: Yes it is cheating.  Not performing a prediction = cheating.
Comments.UserDisplayName: Aalawlx
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2018-07-02T09:08:48.060Z
Comments.Text: You have a warped definition of cheating if it includes using the most reliable information. Since you implicitly don't want the most likely results, what is your end goal with all of this?
Comments.UserDisplayName: Devon Ryan
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2018-07-02T09:45:21.897Z
Comments.Text: A "predictor" not making a "prediction" is cheating.  I am conducting some research into secondary structure predictions comparing their predictive results.
Comments.UserDisplayName: Aalawlx
Tags: <software-recommendation><pdb><software-usage><secondary-structure>
Title: Which secondary structure prediction algorithms don't query the PDB/DSSP for known homologous sequences?
ThreadText: # Which secondary structure prediction algorithms don't query the PDB/DSSP for known homologous sequences?
  
  (Asked by: username_0 on 2018-07-01)
  
  There are several secondary structure prediction algorithms. I am interested in the algorithms which predict secondary structure **without** accessing the PDB to cheat by using the DSSP or STRIDE entry for known homologous structures.
  
  Since DSSP and STRIDE are not performing predictions, rather they analyse the PDB structure to determine whether each residue is a helix, strand or coil. This in turn means that, the 'so called' secondary structure prediction algorithm, also, is not performing predictions (except, of course, in the cases where no homologous structure/sequence is found in the PDB).
  
  Which secondary structure prediction algorithms don't cheat by using DSSP or STRIDE for homologous structures?
  
  Here is a list of secondary structure prediction algorithms, which are accessible via a consensus secondary structure prediction server called @NPS (currently down: <https://npsa-prabi.ibcp.fr/NPSA/npsa_seccons.html>)
  
  ```
  DPM
  DSC
  GOR1
  GOR3
  HNN
  MPSA
  PHD
  PREDA
  SOPM
  
  ```
  
  **Tags:** software-recommendation, pdb, software-usage, secondary-structure
  
  > **Comments:**
  > **username_1**: Have you tried googling for `ab initio secondary structure prediction`?  
  > **username_0**: @username_1 It is a good idea, and doing so does provide some useful information.  However, ab initio modelling is not what I am interested in.  Use of knowledge is fine, only it should be generalised, not a specific query to the PDB and DSSP for a specific sequence - in such case, no prediction is performed, only cheating i.e. an ~100% accurate answer.  
  > **username_1**: If using knowledge is fine the querying PDB and such when possible is in no way cheating.  
  > **username_0**: Yes it is cheating.  Not performing a prediction = cheating.  
  > **username_1**: You have a warped definition of cheating if it includes using the most reliable information. Since you implicitly don't want the most likely results, what is your end goal with all of this?  
  > **username_0**: A "predictor" not making a "prediction" is cheating.  I am conducting some research into secondary structure predictions comparing their predictive results.  
  
  ---
  
  ## 0 answers
  
  