AntibodyAFF
Antibody-Antigen Affinity
Task Overview
Antibodies recognize pathogen antigens and destroy them. The activity is measured by their binding affinities. This task is to predict the affinity from the amino acid sequences of both antigen and antibodies.
Impact
Compared to small-molecule drugs, antibodies have numerous ideal properties such as minimal adverse effect and also can bind to many 'undruggable' targets due to different biochemical mechanisms. Besides, a reliable affinity predictor can help accelerate the antibody development processes by reducing the amount of wet-lab experiments.
Generalization
The models are expected to extrapolate to unseen classes of antigen and antibody pairs.
Product
Antibody, immunotherapy.
Pipeline Stage
Activity
Available Datasets
Usage Example
You can access these datasets using the PyTDC library:
from tdc_ml.multi_pred import AntibodyAFF
# Load a dataset
data = AntibodyAFF(name='Protein_SAbDab')
# Access the data
df = data.get_data()
print(df.head())
# Get train/val/test splits
split = data.get_split()
print(split)