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README.md

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+---
+license: cc0-1.0
+task_categories:
+- tabular-regression
+- graph-ml
+- text-classification
+tags:
+- chemistry
+- biology
+- medical
+pretty_name: ASAP-OpenADMET MLM
+size_categories:
+- n<1K
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: "mlm.csv"
+---
+# ASAP-OpenADMET MLM
+
+ASAP_OpenADMET_MLM dataset from the ASAP Discovery-OpenADMET Antiviral Drug Discovery Challenge [[1]](#1) [[2]](#2). It is intended to be used through
+[scikit-fingerprints](https://github.com/scikit-fingerprints/scikit-fingerprints) library.
+
+The task is to predict MLM (mouse liver microsomal intrinsic clearance in uL/min/mg) of molecules.
+
+| **Characteristic** | **Description** |
+|:------------------:|:---------------:|
+|       Tasks        |        1        |
+|     Task type      |   regression    |
+|   Total samples    |       425       |
+| Recommended split  |      time       |
+| Recommended metric |       MAE       |
+
+## References
+<a id="1">[1]</a>
+ASAP Discovery
+"ASAP Discovery x OpenADMET Antiviral Drug Discovery Challenge"
+https://polarishub.io/blog/antiviral-competition
+
+<a id="2">[2]</a>
+Chodera et al.
+"The ASAP Discovery Antiviral Drug Discovery Challenge"
+https://doi.org/10.26434/chemrxiv-2025-zd9mr