"""
Drug-target affinity prediction with DeepDTA
============================================

.. warning::
   This tutorial is a **stub**. The example in this folder is complete and runnable -- see the
   README and run the command below -- but the narrated walkthrough has not been written yet.
   Tracking issue: the tutorial is marked ``draft: true`` in ``metadata.yml``.

Predict binding affinity between compounds and protein targets by encoding SMILES strings and amino-acid sequences with parallel CNNs, on three BindingDB subsets (Kd, IC50, Ki).

To run the full example now::

    python main.py --cfg configs/Kd-DeepDTA.yaml
"""

# %%
# Setup
# -----
# Placeholder so the gallery builds. Replace this file using
# ``source/_shared/templates/plot.py.template``.

print("See main.py in this folder for the runnable example.")
