Editing Protein secondary structure (section)

=== SST classification ===
SST<ref>{{cite web | url=http://lcb.infotech.monash.edu.au/sstweb2 | title=SST (Web server): Secondary STructure assignment to protein coordinates using MML inference -- Submission page }}</ref><ref name=":0" /> is a Bayesian method to  assign secondary structure to protein coordinate data using the Shannon information criterion of Minimum Message Length ([[Minimum message length|MML]]) inference.  [http://lcb.infotech.monash.edu.au/sstweb2 SST]  treats any assignment of secondary structure as a potential hypothesis that attempts to explain ([[Lossless compression|compress]]) given protein coordinate data. The core idea is that the '''''best''''' secondary structural assignment is the one that can explain ([[Lossless compression|compress]]) the coordinates of a given protein coordinates in the most economical way, thus linking the inference of secondary structure to [[lossless data compression]]. SST accurately delineates any protein chain into regions associated with the following assignment types:<ref>{{Cite web|url=http://lcb.infotech.monash.edu.au/sst|title=SST web server|access-date=17 April 2018}}</ref>

* E = (Extended) strand of a '''[[Beta sheet|β-pleated sheet]]'''
* G = Right-handed '''[[310 helix|3<sub>10</sub> helix]]''' 
* H = Right-handed [[Alpha helix|'''α-helix''']]
* I = Right-handed [[Pi helix|'''π'''-'''helix''']]
* g = Left-handed '''[[310 helix|3<sub>10</sub> helix]]''' 
* h = Left-handed [[Alpha helix|'''α-helix''']]
* i = Left-handed [[Pi helix|'''π'''-'''helix''']]
* 3 = '''3<sub>10</sub>'''-like [[Turn (biochemistry)|'''Turn''']] 
* 4 = '''α'''-like [[Turn (biochemistry)|'''Turn''']] 
* 5 = '''π-'''like  [[Turn (biochemistry)|'''Turn''']] 
* T = Unspecified [[Turn (biochemistry)|'''Turn''']]
* C = '''Coil'''
* - = Unassigned residue

SST<ref>{{cite web | url=http://lcb.infotech.monash.edu.au/sstweb2 | title=SST (Web server): Secondary STructure assignment to protein coordinates using MML inference -- Submission page }}</ref>   detects '''π''' and '''3<sub>10</sub>''' helical caps to standard '''α'''-helices, and automatically assembles the various extended strands into consistent β-pleated sheets. It provides a readable output of dissected secondary structural elements, and a corresponding [[PyMOL|PyMol]]-loadable script to visualize the assigned secondary structural elements individually.