User friendly and accurate binder design pipeline

Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design

Pytorch/Python3 implementation of DeepAccNet, protein model accuracy evaluator.

RosettaDesign using PyRosetta

Using Rotamer Interaction Fields from RIFGen/Dock in python

Github repository for the iGEM Team Heidelberg 2020 judging release software.

Protein Structure prediction using Hybrid Differential Evolution (HybridDE)

Docker image for PyRosetta

A Rosetta-based Python tool for constructing user-defined variant libraries with amino acid insertions, deletions, using loop closure algorithms and energy minimization.

Method-independent benchmark of five de novo protein binder design tools on HPC

Computes biophysical metrics from monomeric PDB structures for use as features in machine learning models.