PICv: Difference between revisions
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{{Infobox script-repo | |||
|type = plugin | |||
|download = https://github.com/lkagami/geo_measures_pymol/archive/master.zip | |||
|author = Luciano Porto Kagami, Gustavo Machado das Neves, Luís Fernando Saraiva Macedo Timmers, Rafael Andrade Caceres and Vera Lucia Eifler-Lima | |||
|license = GNU General Public License v3.0 | |||
}} | |||
== '''About PICv''' == | == '''About PICv''' == | ||
Revision as of 04:44, 11 February 2021
Type | PyMOL Plugin |
---|---|
Download | https://github.com/lkagami/geo_measures_pymol/archive/master.zip |
Author(s) | Luciano Porto Kagami, Gustavo Machado das Neves, Luís Fernando Saraiva Macedo Timmers, Rafael Andrade Caceres and Vera Lucia Eifler-Lima |
License | GNU General Public License v3.0 |
About PICv
Protein interaction clustering and visualization is an pioneer attempt in understanding protein-protein interaction at a residue level. For any given protein the interaction is purely dependent on its charges and surface-structural modifications. The clustering of proteins based on there preferential amino acid interactions provides a biological insight on both the above mentioned aspects. The clusters such obtained can be used to infer the interaction behavior for a class or family of proteins. Such interpretation can be useful in understanding structural protein chemistry. The interactions also provide information on the crucial amino acids required for interactions to remain stable. This information can be used to design antibody or induce mutations to depreciate its functionality
Code
Download the plugin from the following URL:
http://vidyaniranjan.co.in/PICv/PICv.py
Installation and Demo video
Visit the below mentioned link for detailed installation followed by demo.
Developed by
The plugin was developed by Center of Excellence Computational Genomics, R V College of Engineering, Bangalore, India in collaboration with Protein Data Bank in Europe (PDBe), UK
For more details visit