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@@ -19,7 +19,7 @@ configs:
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  ---
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  # ASAP-OpenADMET LogD
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- ASAP_OpenADMET_LogD dataset from the ASAP Discovery-OpenADMET Antiviral Drug Discovery Challenge [[1]](#1) [[2]](#2). It is intended to be used through
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  [scikit-fingerprints](https://github.com/scikit-fingerprints/scikit-fingerprints) library.
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  The task is to predict LogD (distribution coefficient) of molecules.
@@ -42,3 +42,9 @@ https://polarishub.io/blog/antiviral-competition
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  Chodera et al.
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  "The ASAP Discovery Antiviral Drug Discovery Challenge"
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  https://doi.org/10.26434/chemrxiv-2025-zd9mr
 
 
 
 
 
 
 
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  ---
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  # ASAP-OpenADMET LogD
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+ ASAP_OpenADMET_LogD dataset from the ASAP Discovery-OpenADMET Antiviral Drug Discovery Challenge [[1]](#1) [[2]](#2) [[3]](#3). It is intended to be used through
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  [scikit-fingerprints](https://github.com/scikit-fingerprints/scikit-fingerprints) library.
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  The task is to predict LogD (distribution coefficient) of molecules.
 
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  Chodera et al.
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  "The ASAP Discovery Antiviral Drug Discovery Challenge"
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  https://doi.org/10.26434/chemrxiv-2025-zd9mr
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+
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+ <a id="3">[3]</a>
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+ MacDermott-Opeskin, Hugo, et al.
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+ "A computational community blind challenge on pan-coronavirus drug discovery data"
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+ J. Chem. Inf. Model. 2026, 66, 6, 3129-3149
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+ https://doi.org/10.1021/acs.jcim.5c02106