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hkmztrk avatar hkmztrk commented on September 13, 2024

Hello @LukasChoi, thank you for your interest in our work. You can find the datasets under data folder.
For each dataset:
ligands.txt -> it contains the sequences of drugs (SMILES)
proteins.txt -> it contains the sequences of proteins in the data
affinity.txt -> contains the binding affinity matrix in txt form (drugs x proteins in the same order given in the above text files
Y -> contains the binding affinity matrix in pickle form (drugs x proteins in the same order given in the above text files)

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LukasChoi avatar LukasChoi commented on September 13, 2024

There are a few questions:

In the /data/davis folder:

  1. there are two similarities, drug-drug and target-target, what's the criteria of similarity?
  2. what's the meaning of numbers in the target-target_similarities_WS.txt? I don't think the number means probability.
  3. what's the standard of affinity? I don't understand the meaning of numbers in drug-atrget_interaction_affinities_Kd__Davis_et_al.2011v1.txt
  4. there are six test_fold_setting files under "folds" directory, what's the role of these ones? Can you explain the meaning of numbers in the files? For example, [34121, 51548, 12611,...]

In the /data/kiba folder:
5) there two versions of affinity files, kiba_binding_affinity and kiba_binding_affinity_v2, what's the difference?
6) and what's the meaning of 'nan' in the affinity files?
7) there are ligands and proteins files with kiba prefix and without one, kiba_proteins and proteins, what's the difference?
8) what's the role of sim files (kiba_drug_sim and kiba_target_sim)?

In understanding the datasets, your explanation will be very helpful to me.

Thanks in advance.

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hkmztrk avatar hkmztrk commented on September 13, 2024

Hi @LukasChoi, I made a readme file here and removed some duplicate data. https://github.com/hkmztrk/DeepDTA/blob/master/data/README.md

Could you please refer to this read me and then check out the updated datasets? If there is anything unclear, let me know.

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