alchemab/sarscov2-binding-prediction

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 logK_D values were used for classifying sequences as binders and non-binders:

• logK_D<3 = binders
• logK_D>=4 = non-binders
• logK_D>=3 and logK_D = 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

• Engelhart et al. (2022) paper
• Zenodo link for dataset