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Code for ICLR 2024 (Spotlight) paper "MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding"

License: MIT License

Python 100.00%
codebook masked-modeling microenvironment ppi-networks protein-embedding protein-protein-interaction protein-representation-learning vocabulary

mape-ppi's Introduction

Hi there ๐Ÿ‘‹

๐ŸŒฑ Iโ€™m currently interested in AI4Lifescience!

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mape-ppi's Issues

How draw Fig 5?

Dear Lirong:
Thank your representative work, I appreciate the analysis of Figure 5 and have some questions regarding its details.

  1. For Figure 5(a), the center of the clustering is the codebook. What do the remaining 2D points represent? Are they node representations?

  2. How was the distribution of amino acids counted? Specifically, how were the bar graphs obtained?

  3. How is the distribution of amino acids calculated by the codebook in Figure 5(c)? As far as I understand, the codebook doesn't have a direct link to amino acids.

python ./raw_data/data_process.py

Dear Authors,

I sincerely thank you for sharing your great work! (Congrat Spotlight too!)

Could you please share the following code? as it is not included in the current repo:

python ./raw_data/data_process.py

Thank you very much!

Cannot Process the Raw Data

When I use the command: "python data_process.py --dataset SHS27k" to pre=process the raw data, there occurs and error,
image

I wonder if the processing file is the right version. Thanks for your notice and really appreciate your work.

about test data split

Dear author, you mention in your paper dividing the test data into three subsets based on whether two proteins have been present in the training data, including: (1) BS: both have been present; (2) ES: one of the proteins is present; (3) NS: neither occurs. How is this implemented and where is the code for this part?

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