{ "info": { "author": "kimlab", "author_email": "alex.strokach@utoronto.ca", "bugtrack_url": null, "classifiers": [ "Programming Language :: Python :: 3 :: Only", "Topic :: Scientific/Engineering :: Bio-Informatics" ], "description": "ELASPIC\n=======\n\n|anaconda| |docs| |travis| |codecov|\n\nIntroduction\n------------\n\nWelcome to the ELASPIC code repository!\n\nComplete documentation is availible on\n`ReadTheDocs `__.\n\nFor a small number of mutations, you can try running ELASPIC using our\n`webserver `__.\n\nReferences\n----------\n\nWitvliet D, Strokach A, Giraldo-Forero AF, Teyra J, Colak R, and Kim PM\n(2016) *ELASPIC web-server: proteome-wide structure based prediction of\nmutation effects on protein stability and binding affinity.*\nBioinformatics (2016) 32 (10): 1589-1591. doi:\n`10.1093/bioinformatics/btw031 `__.\n\nBerliner N, Teyra J, \u00c7olak R, Garcia Lopez S, Kim PM (2014) *Combining\nStructural Modeling with Ensemble Machine Learning to Accurately Predict\nProtein 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