| import os | |
| from huggingface_hub import HfApi | |
| ASSAY_LIST = ["AC-SINS_pH7.4", "PR_CHO", "HIC", "Tm2", "Titer"] | |
| ASSAY_RENAME = { | |
| "AC-SINS_pH7.4": "Self-association", | |
| "PR_CHO": "Polyreactivity", | |
| "HIC": "Hydrophobicity", | |
| "Tm2": "Thermostability", | |
| "Titer": "Titer", | |
| } | |
| ASSAY_EMOJIS = { | |
| "AC-SINS_pH7.4": "🧲", | |
| "PR_CHO": "🎯", | |
| "HIC": "💧", | |
| "Tm2": "🌡️", | |
| "Titer": "🧪", | |
| } | |
| TOKEN = os.environ.get("HF_TOKEN") | |
| CACHE_PATH=os.getenv("HF_HOME", ".") | |
| API = HfApi(token=TOKEN) | |
| organization="ginkgo-datapoints" | |
| submissions_repo = f'{organization}/abdev-bench-submissions' | |
| results_repo = f'{organization}/abdev-bench-results' | |
| 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 | |
| FAQs: A list of frequently asked questions. | |
| """ | |
| FAQS = { | |
| "Example FAQ with dropdown": """Full answer to this question""", | |
| } |