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ABOUT_TEXT = """
## About this challenge
We're inviting the ML/bio community to predict developability properties for 244 antibodies from the [GDPa1 dataset](https://huggingface.co/datasets/ginkgo-datapoints/GDPa1).
**What is antibody developability?**
Antibodies have to be manufacturable, stable in high concentrations, and have low off-target effects.
Properties such as these can often hinder the progression of an antibody to the clinic, and are collectively referred to as 'developability'.
Here we show 5 of these properties and invite the community to submit and develop better predictors, which will be tested out on a heldout private set to assess model generalization.
**How to submit?**
TODO
**How to evaluate?**
TODO
**How to contribute?**
We'd like to add some more existing models to the leaderboard. Some examples of models we'd like to add:
- TODO
**FAQs**
"""
FAQS = {
"Example FAQ with dropdown": """Full answer to this question""",
}
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