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Benchmark datasets and original codes

Home Page: https://nepc2pvmzy.us-east-1.awsapprunner.com/

License: MIT License

Jupyter Notebook 99.09% PureBasic 0.51% Python 0.19% CSS 0.16% HTML 0.04%
bioactive-peptides deep-learning language-model universal-models

unidl4biopep's Introduction

Hi there ๐Ÿ‘‹

๐Ÿ”ญ Iโ€™m currently working on bioactive peptide discovery by employing machine learning & NLP & molecular docking & dynamics simulation

๐ŸŒฑ Iโ€™m currently learning NLP, especially focusing on large language model

๐Ÿ“ซ How to reach me: zhenjiao.at.ksu.edu

๐Ÿ˜„ Pronouns: He/Him

Zhenjiao's github stats

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unidl4biopep's Issues

Some benchmark files missing

Hi @dzjxzyd, my name is Raul Fernandez-Diaz. I am building a ML tool for predicting peptide bioactivities and wanted to benchmark it against UniDL4BioPep as I think it is the current SOTA using the same benchmarks that you reported in your paper. I noticed that the following data sets are missing:

  • Training and testing splits from 14. Antibacterial AB
  • Testing from 16. Antiviral AV
  • Training and testing from 19. antioxidant_FRS

I would really appreciate if you could upload the files with the training and testing data so that I can use the same splits you used.

Thanks beforehand,

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