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Utilizing the RING contact community to create 3D PSNs
As promised partly 1, this text will present a Python script for processing the .json textual content file generated as output by the Residue Interplay Community Generator (RING) after which plot the information as a 3D protein construction community (PSN) utilizing Plotly. In Half 1 we described intimately the workflow diagram proven under to generate a 3D PSN utilizing Python scripts to course of the RING generated json file. As a result of a lot of the code in Half 2 is comparable in construction to Half 1, the reader ought to really feel assured in merely copying and pasting the code right into a .py file and working the script — very easy. The json file proven right here will be generated utilizing the steps described in Half 1 or you’ll be able to obtain the textual content file from GitHub. Since this text is on the brief aspect I’ll go into extra element as to what the code is doing. First, recall from half 1 that the .json contact community file referenced on this story was generated within the pipeline diagrammed under:
Changing the json file to a 3D community
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