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# Graph-Based Protein Design
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This repo contains code for [Generative Models for Graph-Based Protein Design](https://papers.nips.cc/paper/9711-generative-models-for-graph-based-protein-design) by John Ingraham, Vikas Garg, Regina Barzilay and Tommi Jaakkola, NeurIPS 2019.
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Our approach 'designs' protein sequences for target 3D structures via a graph-conditioned, autoregressive language model:
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<p align="center"><img src="data/scheme.png" width="500"></p>
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## Overview
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* `struct2seq/` contains model code
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* `experiments/` contains scripts for training and evaluating the model
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* `data/` contains scripts for building and processing datasets in the paper
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## Requirements
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* Python >= 3.0
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* PyTorch >= 1.0
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* Numpy
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## Citation
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```
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@inproceedings{ingraham2019generative,
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author = {Ingraham, John and Garg, Vikas K and Barzilay, Regina and Jaakkola, Tommi},
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title = {Generative Models for Graph-Based Protein Design},
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booktitle = {Advances in Neural Information Processing Systems}
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year = {2019}
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}
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```

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