https://github.com/ddofer/proteinbert

Protein language models using attention models
https://github.com/ddofer/proteinbert

bioinformatics cafa deep-learning deep-neural-networks language-model machine-learning proteomics

Last synced: 6 days ago
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Protein language models using attention models

• Host: GitHub
• URL: https://github.com/ddofer/proteinbert
• Owner: ddofer
• Created: 2019-11-27T15:46:59.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2021-05-30T07:39:04.000Z (over 3 years ago)
• Last Synced: 2024-12-03T21:41:56.158Z (2 months ago)
• Topics: bioinformatics, cafa, deep-learning, deep-neural-networks, language-model, machine-learning, proteomics
• Language: Jupyter Notebook
• Size: 33.1 MB
• Stars: 1
• Watchers: 5
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# ProteinBert

Protein language models using attention models

## DEPRECATED: Code refactored and released in new repo: https://github.com/nadavbra/protein_bert  

* Pip package: pip install protein-bert 

* This repo contained development code for ProteinBERT and some code used during the CAFA competition.

Our paper is out!

If you use ProteinBERT, we ask that you cite our paper: 

`Brandes, N., Ofer, D., Peleg, Y., Rappoport, N. & Linial, M. ProteinBERT: A universal deep-learning model of protein sequence and function. bioRxiv (2021). https://doi.org/10.1101/2021.05.24.445464`