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import os |
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from huggingface_hub import HfApi |
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ASSAY_LIST = ["AC-SINS_pH7.4", "PR_CHO", "HIC", "Tm2", "Titer"] |
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ASSAY_RENAME = { |
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"AC-SINS_pH7.4": "Self-association", |
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"PR_CHO": "Polyreactivity", |
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"HIC": "Hydrophobicity", |
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"Tm2": "Thermostability", |
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"Titer": "Titer", |
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} |
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ASSAY_DESCRIPTION = { |
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"AC-SINS_pH7.4": "Self association by AC-SINS at pH 7.4", |
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"PR_CHO": "Polyreactivity by bead-based method against CHO SMP and ovalbumin", |
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"HIC": "Hydrophobicity by HIC", |
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"Tm2": "Thermostability by nanoDSF", |
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"Titer": "Titer by Valita", |
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} |
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ASSAY_EMOJIS = { |
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"AC-SINS_pH7.4": "🧲", |
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"PR_CHO": "🎯", |
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"HIC": "💧", |
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"Tm2": "🌡️", |
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"Titer": "🧪", |
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} |
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TOKEN = os.environ.get("HF_TOKEN") |
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CACHE_PATH=os.getenv("HF_HOME", ".") |
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API = HfApi(token=TOKEN) |
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organization="ginkgo-datapoints" |
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submissions_repo = f'{organization}/abdev-bench-submissions' |
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results_repo = f'{organization}/abdev-bench-results' |
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ABOUT_TEXT = """ |
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## About this challenge |
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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). |
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**What is antibody developability?** |
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Antibodies have to be manufacturable, stable in high concentrations, and have low off-target effects. |
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Properties such as these can often hinder the progression of an antibody to the clinic, and are collectively referred to as 'developability'. |
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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. |
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**How to submit?** |
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TODO |
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**How to evaluate?** |
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TODO |
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FAQs: A list of frequently asked questions. |
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""" |
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FAQS = { |
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"Example FAQ with dropdown": """Full answer to this question""", |
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} |