MAPE-PPI
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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"
Dear Authors, Do you release the training code? How long does this method need to train?
Dear author, you have a pre-trained model on github, on which dataset was this model pre-trained? In your paper, you mentioned using the CATH dataset for pre-training. I think it...
Helllo Author, ./raw_data/data_process.py file not found. How can I get this file? Thank you~
I am interested in Mape-PPI and its relevant baseline methods. I would like to ask whether global representations (embeddings from the CLS token) or averaged/pooled residue-level representations should be used...
I am currently using the all_assign.txt file in the MAPE-PPI repository and I am trying to understand its format and purpose more clearly. Could you please provide some details about...
Dear authors, I have followed you description in the README to download the CATH42 datasets and processed it into protein.rball.edges.CATH42.npy, protein.knn.edges.CATH42.npy, protein.nodes.CATH42.pt. I directly use your codes and the following...
It is not clear anywhere how to upload my data (amino acid sequence or PDB file?) for running a job to check interactions between two proteins I want to upload...
I was using your environment.yml and it fails: ResolvePackageNotFound: - nni==2.10 - json==2.0.9 - dgl==0.9.1post1 - csv==1.0 - argparse==1.1 Firstly, is not argparse, json, csv standard python libraries not conda...
I found that in the protein.SHS27k.sequences.dictionary.tsv file, some of the protein sequences do not match the sequences in the pdb file. Could you please clarify which one should be taken...