Implementation of trRosetta and trDesign for Pytorch, made into a convenient package

Related tags

Deep Learningdeep-learningartificial-intelligenceprotein-designprotein-folding
Overview

trRosetta - Pytorch (wip)

Implementation of trRosetta and trDesign for Pytorch, made into a convenient package, for protein structure prediction and design. Will also contain an experimental version of trRosetta that uses attention. The concept of trDesign will also be abstracted into a wrapper in this repository, so that it can be applied to Alphafold2 once it is replicated. Please join the efforts there if you would like to see this happen!

The original repository can be found here

Install

$ pip install tr-rosetta-pytorch

Usage

As a command-line tool, to run a structure prediction

$ tr_rosetta <input-file.a3m>

Code

import torch
from tr_rosetta_pytorch import trRosettaNetwork

model = trRosettaNetwork(
    filters = 64,
    kernel = 3,
    num_layers = 61
).cuda()

x = torch.randn(1, 526, 140, 140).cuda()

theta, phi, distance, omega = model(x)

Citations

@article {Yang1496,
    author = {Yang, Jianyi and Anishchenko, Ivan and Park, Hahnbeom and Peng, Zhenling and Ovchinnikov, Sergey and Baker, David},
    title = {Improved protein structure prediction using predicted interresidue orientations},
    URL = {https://www.pnas.org/content/117/3/1496},
    eprint = {https://www.pnas.org/content/117/3/1496.full.pdf},
    journal = {Proceedings of the National Academy of Sciences}
}
@article {Anishchenko2020.07.22.211482,
    author = {Anishchenko, Ivan and Chidyausiku, Tamuka M. and Ovchinnikov, Sergey and Pellock, Samuel J. and Baker, David},
    title = {De novo protein design by deep network hallucination},
    URL = {https://www.biorxiv.org/content/early/2020/07/23/2020.07.22.211482},
    eprint = {https://www.biorxiv.org/content/early/2020/07/23/2020.07.22.211482.full.pdf},
    journal = {bioRxiv}
}
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Comments
  • Fixing a bug in sequence preprocessing

    Fixing a bug in sequence preprocessing

    When cuda is available, and a sequence of length = 1 is loaded, it is left on the cpu and not copied to the gpu. That creates an error: RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! (when checking arugment for argument tensors in method wrapper__cat)

    opened by LiorZ 0
  • How to get a PDB file via a FASTA file?

    How to get a PDB file via a FASTA file?

    Hello, I have recently needed to make structural predictions on many small proteins, I only have their sequence, I hope to get .PDB file, can this software implement? I tried it, it seems that I can only get the .npz file. If you can, please tell me , thank you !

    opened by mooerccx 0
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Phil Wang
Working with Attention. It's all we need.
Phil Wang
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