shervinea / enzynet

EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation

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EnzyNet is a project that uses 3D convolutional neural networks for enzyme classification. This repository contains all of the code that has been used to design, test, and run EnzyNet. We tried to make it as user-friendly as possible, so that you can run tests on your own datasets too! If you are interested in the background of this project, you can take a look at our previous publications.

Documentation

All installation, running and customization procedures are detailed on the project's webpage.

Reference

You can find our paper on arXiv. The associated BibTeX code is

@article{Amidi2017,
  author = {A. Amidi and S. Amidi and D. Vlachakis and V. Megalooikonomou and N. Paragios and E. Zacharaki},
  title = {EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation},
  journal = {ArXiv e-prints},
  archivePrefix = {arXiv},
  eprint = {1707.06017}
}