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sarscov2-binding-prediction

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metadata
dataset_info:
  features:
    - name: vh
      dtype: string
    - name: vl
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': non-binder
            '1': binder
  splits:
    - name: train
      num_bytes: 10272366
      num_examples: 41787
    - name: eval
      num_bytes: 1141623
      num_examples: 4644
    - name: test
      num_bytes: 1268252
      num_examples: 5159
  download_size: 1194761
  dataset_size: 12682241

SARS-CoV-2 binding dataset

Dataset of 104972 antibodies screened for binding the SARS-CoV-2 HR peptide, described in Engelhart et al. (2022), were obtained from Zenodo.

Average predicted logKD values were used for classifying sequences as binders and non-binders:

  • logKD<3 = binders
  • logKD>=4 = non-binders
  • logKD>=3 and logKD = ambiguous; removed.

Using these criteria, we have 51590 sequences remaining; these were stratified into an 80:10:10 ratio for training, test, validation, leading to:

  • 41787 sequences in training
  • 5159 sequences in validation
  • 4644 sequences in test

Example

vh vl label
EVQ... DIQ... 1
EVQ... DIQ... 0
EVQ... DIQ... 0
EVQ... DIQ... 1

References