Software download
Solubility from protein sequence prediction
To run the protein-sol solution prediction algorithm locally, download and extract the following file.
The software is shell/perl based and should be simple to run on any Unix-like system. Instructions on how to run the code are contained within the zip file.
Please use the following paper for citing the protein-sol sequence solubility prediction software
Hebditch M, Carballo-Amador M A, Charonis S, Curtis R, Warwicker J.
Protein-Sol: A web tool for predicting protein solubility from sequence.
Bioinformatics (2017)
Building on work published in
Chan P, Curtis R, Warwicker J (2013) Sci Rep 3:3333.
Warwicker J, Charonis S, Curtis R (2014) Mol Pharm 11:294
The software is still under development and further improvements are forthcoming.
Please contact us at protein-sol@manchester.ac.uk if you have any questions, comments or further interest in using the tool.
Abpred
The software and machine learning models are freely available on Github, and a docker image preconfigured with all of the dependencies is available here.
Please use the following paper for citing the protein-sol abpred software
Hebditch and Warwicker.
Charge and hydrophobicity are key features in sequence-trained machine learning models for predicting the biophysical properties of clinical-stage antibodies
PeerJ (2019)