Welcome to project OVOP (Optimal View of Protein)


In project OVOP we have developed an automatic method for rotating proteins to a subjectively nice orientation / view. The method is based on the neural network related algorithm the Self Organizing Map. In brief we make a dimension reduction of all the 3D CA- coordinates for the protein backbone to two dimensions (the dimension reduction preserves the most important relationships in the data). The 3D data is rotated to the view that best corresponds to the 2D data.
This procedure, which we call OVOP, was evaluated in a public blind trial on the web against two random views and a "flattest" view. The OVOP view was constantly rated "better" than the other views by our "volunteers" as can be seen in the figure below.


If you like you can still run the blind test , or find the OVOP
view of your favourite fold.

Enter SCOP fold (e.g c.1) or choose from the list:


The program is free software for non-commercial use and can be downloaded here.
Before running the program please see the instructions in the README file and the licence information
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