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Add the deepFRI neural network to the Rosetta tensorflow_graphs repo #1

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5 changes: 5 additions & 0 deletions README.md
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Expand Up @@ -6,9 +6,14 @@ A submodule containing Tensorflow models for various machine learning-based prot

* Created as "trRosetta" repo on 21 Jan 2021 by Vikram K. Mulligan, Flatiron Institute ([email protected]).
* Renamed to "tensorflow\_graphs" repo on 22 Jan 2021.
* VKM added deepFRI neural network on 27 April 2021.

## Contents

### deepFRI

A neural network combining an LSTM (long short-term memory) model with a deep graph convolutional neural network to predict protein function from sequence and structure. Sequence is processed by the LSTM language model, and structure by the deep graph convolutional neural network.

### trRosetta

A machine learning model that takes an input multiple sequence alignment and produces an output estimate of pairwise residue distances and angles, useful for protein structure prediction.
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