TrRosetta
A package to predict protein inter-residue geometries from sequence data
Install / Use
/learn @gjoni/TrRosettaREADME
trRosetta
This package is a part of trRosetta protein structure prediction protocol developed in: Improved protein structure prediction using predicted inter-residue orientations. It includes tools to predict protein inter-residue geometries from a multiple sequence alignment or a single sequence.
Contact: Ivan Anishchenko, aivan@uw.edu
Updates
trRosetta2 is now available (May 20, 2021)
Requirements
tensorflow (tested on versions 1.13 and 1.14)
Download
# download package
git clone https://github.com/gjoni/trRosetta
cd trRosetta
# download pre-trained network
wget https://files.ipd.uw.edu/pub/trRosetta/model2019_07.tar.bz2
tar xf model2019_07.tar.bz2
Usage
python ./network/predict.py -m ./model2019_07 example/T1001.a3m example/T1001.npz
Links
References
J Yang, I Anishchenko, H Park, Z Peng, S Ovchinnikov, D Baker. Improved protein structure prediction using predicted inter-residue orientations. (2020) PNAS. 117(3): 1496-1503
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