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Ensemble Learning Approach for Stability Prediction of Interface and Core mutations (ELASPIC).

Project Description

Introduction

Welcome to the ELASPIC code repository!

Complete documentation is availible on ReadTheDocs.

For a small number of mutations, you can try running ELASPIC using our webserver.

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.

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.

Release History

Release History

This version
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0.1.39

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0.1.38

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0.1.37

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0.1.36

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0.1.35

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0.1.34

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0.1.33

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0.1.32

Download Files

Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
elaspic-0.1.39.tar.gz (9.5 MB) Copy SHA256 Checksum SHA256 Source Sep 6, 2016

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