Metadata-Version: 1.1
Name: elaspic
Version: 0.1.35
Summary: Ensemble Learning Approach for Stability Prediction of Interface and Core mutations (ELASPIC).
Home-page: https://github.com/kimlaborg/elaspic
Author: kimlab
Author-email: alex.strokach@utoronto.ca
License: UNKNOWN
Description: # ELASPIC
        
        [![anaconda](https://anaconda.org/kimlab/elaspic/badges/version.svg?style=flat-square)](https://anaconda.org/kimlab/elaspic)
        [![docs](https://img.shields.io/badge/docs-latest-blue.svg?style=flat-square&?version=latest)](http://kimlaborg.github.io/elaspic)
        [![travis](https://img.shields.io/travis/kimlaborg/elaspic.svg?style=flat-square)](https://travis-ci.org/kimlaborg/elaspic)
        [![codecov](https://img.shields.io/codecov/c/github/kimlaborb/elaspic.svg?style=flat-square)](https://codecov.io/gh/kimlaborg/elaspic)
        
        
        ## Introduction
        
        Welcome to the ELASPIC code repository!
        
        Complete documentation is availible on [ReadTheDocs](http://elaspic.readthedocs.io).
        
        For a small number of mutations, you can try running ELASPIC using our [webserver](http://elaspic.kimlab.org).
        
        
        ## References
        
        Witvliet D, Strokach A, Giraldo-Forero AF, Teyra J, Colak R, and Kim PM (2016)
        *ELASPIC web-server: proteome-wide structure based prediction of mutation effects on protein stability and binding affinity.* Bioinformatics (2016) 32 (10): 1589-1591. doi: [10.1093/bioinformatics/btw031](https://doi.org/10.1093/bioinformatics/btw031).
        
        Berliner N, Teyra J, Çolak R, Garcia Lopez S, Kim PM (2014) *Combining Structural Modeling with Ensemble Machine Learning to Accurately Predict Protein Fold Stability and Binding Affinity Effects upon Mutation.* PLoS ONE 9(9): e107353. doi: [10.1371/journal.pone.0107353](https://doi.org/10.1371/journal.pone.0107353).
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
