https://github.com/aqlaboratory/rgn2

https://github.com/aqlaboratory/rgn2

Science Score: 13.0%

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    Low similarity (3.8%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: aqlaboratory
  • Language: Python
  • Default Branch: master
  • Size: 17.1 MB
Statistics
  • Stars: 107
  • Watchers: 10
  • Forks: 28
  • Open Issues: 4
  • Releases: 0
Created almost 7 years ago · Last pushed over 2 years ago
Metadata Files
Readme

README.md

RGN2

This is the reference implementation of recurrent geometric network-2 (RGN2), described in the paper Single-sequence protein structure prediction using a language model and deep learning.

Note: We recommend using RGN2 primarily for prediction of orphan or de novo proteins. For proteins with known homologs we suggest using AlphaFold2 or OpenFold.

Usage

Use the RGN2 Colab notebook to predict the 3D structures for orphan or de novo protein sequences.

Reference

Single-sequence protein structure prediction using a language model and deep learning, Nature Biotechnology 2022

Owner

  • Name: AQ Laboratory
  • Login: aqlaboratory
  • Kind: organization
  • Email: m.alquraishi@columbia.edu
  • Location: Columbia University

GitHub Events

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Last synced: over 1 year ago

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  • Total pull request authors: 1
  • Average comments per issue: 1.73
  • Average comments per pull request: 0.0
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  • Bot issues: 0
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Past Year
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  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 1
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  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 0
  • Bot issues: 0
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