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@@ -363,70 +363,86 @@ <h3 id="leaderboard">Leaderboard</h3> | |
</tr> | ||
<tr> | ||
<td> 5 </td> | ||
<td> Chemprop-RDKit </td> | ||
<td><a href="mailto:[email protected]">Kyle Swanson</a></td> | ||
<td><a href="https://github.com/chemprop/chemprop"> GitHub</a>, <a href="https://pubs.acs.org/doi/full/10.1021/acs.jcim.9b00237">Paper </a></td> | ||
<td> N/A </td> | ||
<td>0.328 <span>±</span> 0.024 </td> | ||
</tr> | ||
<tr> | ||
<td> 6 </td> | ||
<td> Chemprop </td> | ||
<td><a href="mailto:[email protected]">Kyle Swanson</a></td> | ||
<td><a href="https://github.com/chemprop/chemprop"> GitHub</a>, <a href="https://pubs.acs.org/doi/full/10.1021/acs.jcim.9b00237">Paper </a></td> | ||
<td> N/A </td> | ||
<td>0.340 <span>±</span> 0.016 </td> | ||
</tr> | ||
<tr> | ||
<td> 7 </td> | ||
<td> Euclia ML model </td> | ||
<td><a href="mailto:[email protected]">Euclia</a></td> | ||
<td><a href="https://github.com/euclia/public-models"> GitHub</a>, <a href="https://github.com/euclia/public-models">Paper </a></td> | ||
<td> 50 </td> | ||
<td>0.341 <span>±</span> 0.004 </td> | ||
</tr> | ||
<tr> | ||
<td> 6 </td> | ||
<td> 8 </td> | ||
<td> RDKit2D + MLP (DeepPurpose) </td> | ||
<td><a href="mailto:[email protected]">Kexin Huang</a></td> | ||
<td><a href="https://github.com/mims-harvard/TDC/tree/master/examples/single_pred/admet"> GitHub</a>, <a href="https://doi.org/10.1093/bioinformatics/btaa1005">Paper </a></td> | ||
<td> 633,409 </td> | ||
<td>0.393 <span>±</span> 0.024 </td> | ||
</tr> | ||
<tr> | ||
<td> 7 </td> | ||
<td> 9 </td> | ||
<td> AttentiveFP </td> | ||
<td><a href="mailto:[email protected]">Kexin Huang</a></td> | ||
<td><a href="https://github.com/mims-harvard/TDC/tree/main/examples/single_pred/admet"> GitHub</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/31408336/">Paper </a></td> | ||
<td> 300,806 </td> | ||
<td>0.401 <span>±</span> 0.032 </td> | ||
</tr> | ||
<tr> | ||
<td> 8 </td> | ||
<td> 10 </td> | ||
<td> CNN (DeepPurpose) </td> | ||
<td><a href="mailto:[email protected]">Kexin Huang</a></td> | ||
<td><a href="https://github.com/mims-harvard/TDC/tree/master/examples/single_pred/admet"> GitHub</a>, <a href="https://doi.org/10.1093/bioinformatics/btaa1005">Paper </a></td> | ||
<td> 226,625 </td> | ||
<td>0.446 <span>±</span> 0.036 </td> | ||
</tr> | ||
<tr> | ||
<td> 9 </td> | ||
<td> 11 </td> | ||
<td> ContextPred </td> | ||
<td><a href="mailto:[email protected]">Kexin Huang</a></td> | ||
<td><a href="https://github.com/mims-harvard/TDC/tree/main/examples/single_pred/admet"> GitHub</a>, <a href="https://arxiv.org/abs/1905.12265">Paper </a></td> | ||
<td> 2,067,053 </td> | ||
<td>0.502 <span>±</span> 0.036 </td> | ||
</tr> | ||
<tr> | ||
<td> 10 </td> | ||
<td> 12 </td> | ||
<td> NeuralFP </td> | ||
<td><a href="mailto:[email protected]">Kexin Huang</a></td> | ||
<td><a href="https://github.com/mims-harvard/TDC/tree/main/examples/single_pred/admet"> GitHub</a>, <a href="https://ieeexplore.ieee.org/document/9412489">Paper </a></td> | ||
<td> 480,193 </td> | ||
<td>0.530 <span>±</span> 0.102 </td> | ||
</tr> | ||
<tr> | ||
<td> 11 </td> | ||
<td> 13 </td> | ||
<td> AttrMasking </td> | ||
<td><a href="mailto:[email protected]">Kexin Huang</a></td> | ||
<td><a href="https://github.com/mims-harvard/TDC/tree/main/examples/single_pred/admet"> GitHub</a>, <a href="https://arxiv.org/abs/1905.12265">Paper </a></td> | ||
<td> 2,067,053 </td> | ||
<td>0.546 <span>±</span> 0.052 </td> | ||
</tr> | ||
<tr> | ||
<td> 12 </td> | ||
<td> 14 </td> | ||
<td> GCN </td> | ||
<td><a href="mailto:[email protected]">Kexin Huang</a></td> | ||
<td><a href="https://github.com/mims-harvard/TDC/tree/main/examples/single_pred/admet"> GitHub</a>, <a href="https://arxiv.org/abs/1609.02907">Paper </a></td> | ||
<td> 191,810 </td> | ||
<td>0.599 <span>±</span> 0.104 </td> | ||
</tr> | ||
<tr> | ||
<td> 13 </td> | ||
<td> 15 </td> | ||
<td> Morgan + MLP (DeepPurpose) </td> | ||
<td><a href="mailto:[email protected]">Kexin Huang</a></td> | ||
<td><a href="https://github.com/mims-harvard/TDC/tree/master/examples/single_pred/admet"> GitHub</a>, <a href="https://doi.org/10.1093/bioinformatics/btaa1005">Paper </a></td> | ||
|
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|
@@ -339,86 +339,102 @@ <h3 id="leaderboard">Leaderboard</h3> | |
</tr> | ||
<tr> | ||
<td> 2 </td> | ||
<td> Chemprop-RDKit </td> | ||
<td><a href="mailto:[email protected]">Kyle Swanson</a></td> | ||
<td><a href="https://github.com/chemprop/chemprop"> GitHub</a>, <a href="https://pubs.acs.org/doi/full/10.1021/acs.jcim.9b00237">Paper </a></td> | ||
<td> N/A </td> | ||
<td>0.981 <span>±</span> 0.002 </td> | ||
</tr> | ||
<tr> | ||
<td> 3 </td> | ||
<td> AttrMasking </td> | ||
<td><a href="mailto:[email protected]">Kexin Huang</a></td> | ||
<td><a href="https://github.com/mims-harvard/TDC/tree/main/examples/single_pred/admet"> GitHub</a>, <a href="https://arxiv.org/abs/1905.12265">Paper </a></td> | ||
<td> 2,067,053 </td> | ||
<td>0.978 <span>±</span> 0.006 </td> | ||
</tr> | ||
<tr> | ||
<td> 3 </td> | ||
<td> 4 </td> | ||
<td> ContextPred </td> | ||
<td><a href="mailto:[email protected]">Kexin Huang</a></td> | ||
<td><a href="https://github.com/mims-harvard/TDC/tree/main/examples/single_pred/admet"> GitHub</a>, <a href="https://arxiv.org/abs/1905.12265">Paper </a></td> | ||
<td> 2,067,053 </td> | ||
<td>0.975 <span>±</span> 0.004 </td> | ||
</tr> | ||
<tr> | ||
<td> 4 </td> | ||
<td> 5 </td> | ||
<td> AttentiveFP </td> | ||
<td><a href="mailto:[email protected]">Kexin Huang</a></td> | ||
<td><a href="https://github.com/mims-harvard/TDC/tree/main/examples/single_pred/admet"> GitHub</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/31408336/">Paper </a></td> | ||
<td> 300,806 </td> | ||
<td>0.974 <span>±</span> 0.007 </td> | ||
</tr> | ||
<tr> | ||
<td> 5 </td> | ||
<td> 6 </td> | ||
<td> RDKit2D + MLP (DeepPurpose) </td> | ||
<td><a href="mailto:[email protected]">Kexin Huang</a></td> | ||
<td><a href="https://github.com/mims-harvard/TDC/tree/master/examples/single_pred/admet"> GitHub</a>, <a href="https://doi.org/10.1093/bioinformatics/btaa1005">Paper </a></td> | ||
<td> 633,409 </td> | ||
<td>0.972 <span>±</span> 0.008 </td> | ||
</tr> | ||
<tr> | ||
<td> 6 </td> | ||
<td> 7 </td> | ||
<td> Chemprop </td> | ||
<td><a href="mailto:[email protected]">Kyle Swanson</a></td> | ||
<td><a href="https://github.com/chemprop/chemprop"> GitHub</a>, <a href="https://pubs.acs.org/doi/full/10.1021/acs.jcim.9b00237">Paper </a></td> | ||
<td> N/A </td> | ||
<td>0.965 <span>±</span> 0.005 </td> | ||
</tr> | ||
<tr> | ||
<td> 8 </td> | ||
<td> ZairaChem </td> | ||
<td><a href="mailto:[email protected]">Gemma Turon </a></td> | ||
<td><a href="https://github.com/ersilia-os/zaira-chem-tdc-benchmark"> GitHub</a>, <a href="https://www.biorxiv.org/content/10.1101/2022.12.13.520154v1">Paper </a></td> | ||
<td> N/A </td> | ||
<td>0.948 <span>±</span> 0.018 </td> | ||
</tr> | ||
<tr> | ||
<td> 7 </td> | ||
<td> 9 </td> | ||
<td> NeuralFP </td> | ||
<td><a href="mailto:[email protected]">Kexin Huang</a></td> | ||
<td><a href="https://github.com/mims-harvard/TDC/tree/main/examples/single_pred/admet"> GitHub</a>, <a href="https://ieeexplore.ieee.org/document/9412489">Paper </a></td> | ||
<td> 480,193 </td> | ||
<td>0.943 <span>±</span> 0.014 </td> | ||
</tr> | ||
<tr> | ||
<td> 8 </td> | ||
<td> 10 </td> | ||
<td> GCN </td> | ||
<td><a href="mailto:[email protected]">Kexin Huang</a></td> | ||
<td><a href="https://github.com/mims-harvard/TDC/tree/main/examples/single_pred/admet"> GitHub</a>, <a href="https://arxiv.org/abs/1609.02907">Paper </a></td> | ||
<td> 191,810 </td> | ||
<td>0.936 <span>±</span> 0.024 </td> | ||
</tr> | ||
<tr> | ||
<td> 9 </td> | ||
<td> 11 </td> | ||
<td> Euclia ML model </td> | ||
<td><a href="mailto:[email protected]">Euclia</a></td> | ||
<td><a href="https://github.com/euclia/public-models"> GitHub</a>, <a href="https://github.com/euclia/public-models">Paper </a></td> | ||
<td> 50 </td> | ||
<td>0.926 <span>±</span> 0.017 </td> | ||
</tr> | ||
<tr> | ||
<td> 10 </td> | ||
<td> 12 </td> | ||
<td> CNN (DeepPurpose) </td> | ||
<td><a href="mailto:[email protected]">Kexin Huang</a></td> | ||
<td><a href="https://github.com/mims-harvard/TDC/tree/master/examples/single_pred/admet"> GitHub</a>, <a href="https://doi.org/10.1093/bioinformatics/btaa1005">Paper </a></td> | ||
<td> 226,625 </td> | ||
<td>0.869 <span>±</span> 0.026 </td> | ||
</tr> | ||
<tr> | ||
<td> 11 </td> | ||
<td> 13 </td> | ||
<td> Basic ML </td> | ||
<td><a href="mailto:[email protected]">Nilavo Boral</a></td> | ||
<td><a href="https://github.com/NilavoBoral/Therapeutics-Data-Commons"> GitHub</a>, <a href="https://www.biorxiv.org/content/10.1101/2022.06.29.115436v1">Paper </a></td> | ||
<td> N/A </td> | ||
<td>0.818 <span>±</span> 0.010 </td> | ||
</tr> | ||
<tr> | ||
<td> 12 </td> | ||
<td> 14 </td> | ||
<td> Morgan + MLP (DeepPurpose) </td> | ||
<td><a href="mailto:[email protected]">Kexin Huang</a></td> | ||
<td><a href="https://github.com/mims-harvard/TDC/tree/master/examples/single_pred/admet"> GitHub</a>, <a href="https://doi.org/10.1093/bioinformatics/btaa1005">Paper </a></td> | ||
|
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|
@@ -403,22 +403,38 @@ <h3 id="leaderboard">Leaderboard</h3> | |
</tr> | ||
<tr> | ||
<td> 10 </td> | ||
<td> Chemprop-RDKit </td> | ||
<td><a href="mailto:[email protected]">Kyle Swanson</a></td> | ||
<td><a href="https://github.com/chemprop/chemprop"> GitHub</a>, <a href="https://pubs.acs.org/doi/full/10.1021/acs.jcim.9b00237">Paper </a></td> | ||
<td> N/A </td> | ||
<td>0.883 <span>±</span> 0.016 </td> | ||
</tr> | ||
<tr> | ||
<td> 11 </td> | ||
<td> Morgan + MLP (DeepPurpose) </td> | ||
<td><a href="mailto:[email protected]">Kexin Huang</a></td> | ||
<td><a href="https://github.com/mims-harvard/TDC/tree/master/examples/single_pred/admet"> GitHub</a>, <a href="https://doi.org/10.1093/bioinformatics/btaa1005">Paper </a></td> | ||
<td> 1,477,185 </td> | ||
<td>0.880 <span>±</span> 0.006 </td> | ||
</tr> | ||
<tr> | ||
<td> 11 </td> | ||
<td> 12 </td> | ||
<td> Chemprop </td> | ||
<td><a href="mailto:[email protected]">Kyle Swanson</a></td> | ||
<td><a href="https://github.com/chemprop/chemprop"> GitHub</a>, <a href="https://pubs.acs.org/doi/full/10.1021/acs.jcim.9b00237">Paper </a></td> | ||
<td> N/A </td> | ||
<td>0.858 <span>±</span> 0.036 </td> | ||
</tr> | ||
<tr> | ||
<td> 13 </td> | ||
<td> Euclia ML model </td> | ||
<td><a href="mailto:[email protected]">Euclia</a></td> | ||
<td><a href="https://github.com/euclia/public-models"> GitHub</a>, <a href="https://github.com/euclia/public-models">Paper </a></td> | ||
<td> 50 </td> | ||
<td>0.845 <span>±</span> 0.003 </td> | ||
</tr> | ||
<tr> | ||
<td> 12 </td> | ||
<td> 14 </td> | ||
<td> Basic ML </td> | ||
<td><a href="mailto:[email protected]">Nilavo Boral</a></td> | ||
<td><a href="https://github.com/NilavoBoral/Therapeutics-Data-Commons"> GitHub</a>, <a href="https://www.biorxiv.org/content/10.1101/2022.06.29.115436v1">Paper </a></td> | ||
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|
@@ -363,62 +363,78 @@ <h3 id="leaderboard">Leaderboard</h3> | |
</tr> | ||
<tr> | ||
<td> 5 </td> | ||
<td> Chemprop-RDKit </td> | ||
<td><a href="mailto:[email protected]">Kyle Swanson</a></td> | ||
<td><a href="https://github.com/chemprop/chemprop"> GitHub</a>, <a href="https://pubs.acs.org/doi/full/10.1021/acs.jcim.9b00237">Paper </a></td> | ||
<td> N/A </td> | ||
<td>0.668 <span>±</span> 0.069 </td> | ||
</tr> | ||
<tr> | ||
<td> 6 </td> | ||
<td> AttentiveFP </td> | ||
<td><a href="mailto:[email protected]">Kexin Huang</a></td> | ||
<td><a href="https://github.com/mims-harvard/TDC/tree/main/examples/single_pred/admet"> GitHub</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/31408336/">Paper </a></td> | ||
<td> 300,806 </td> | ||
<td>0.632 <span>±</span> 0.039 </td> | ||
</tr> | ||
<tr> | ||
<td> 6 </td> | ||
<td> 7 </td> | ||
<td> NeuralFP </td> | ||
<td><a href="mailto:[email protected]">Kexin Huang</a></td> | ||
<td><a href="https://github.com/mims-harvard/TDC/tree/main/examples/single_pred/admet"> GitHub</a>, <a href="https://ieeexplore.ieee.org/document/9412489">Paper </a></td> | ||
<td> 480,193 </td> | ||
<td>0.632 <span>±</span> 0.036 </td> | ||
</tr> | ||
<tr> | ||
<td> 7 </td> | ||
<td> 8 </td> | ||
<td> Euclia ML model </td> | ||
<td><a href="mailto:[email protected]">Euclia</a></td> | ||
<td><a href="https://github.com/euclia/public-models"> GitHub</a>, <a href="https://github.com/euclia/public-models">Paper </a></td> | ||
<td> 50 </td> | ||
<td>0.613 <span>±</span> 0.015 </td> | ||
</tr> | ||
<tr> | ||
<td> 8 </td> | ||
<td> 9 </td> | ||
<td> CNN (DeepPurpose) </td> | ||
<td><a href="mailto:[email protected]">Kexin Huang</a></td> | ||
<td><a href="https://github.com/mims-harvard/TDC/tree/master/examples/single_pred/admet"> GitHub</a>, <a href="https://doi.org/10.1093/bioinformatics/btaa1005">Paper </a></td> | ||
<td> 226,625 </td> | ||
<td>0.613 <span>±</span> 0.013 </td> | ||
</tr> | ||
<tr> | ||
<td> 9 </td> | ||
<td> 10 </td> | ||
<td> Morgan + MLP (DeepPurpose) </td> | ||
<td><a href="mailto:[email protected]">Kexin Huang</a></td> | ||
<td><a href="https://github.com/mims-harvard/TDC/tree/master/examples/single_pred/admet"> GitHub</a>, <a href="https://doi.org/10.1093/bioinformatics/btaa1005">Paper </a></td> | ||
<td> 1,477,185 </td> | ||
<td>0.581 <span>±</span> 0.086 </td> | ||
</tr> | ||
<tr> | ||
<td> 10 </td> | ||
<td> 11 </td> | ||
<td> Chemprop </td> | ||
<td><a href="mailto:[email protected]">Kyle Swanson</a></td> | ||
<td><a href="https://github.com/chemprop/chemprop"> GitHub</a>, <a href="https://pubs.acs.org/doi/full/10.1021/acs.jcim.9b00237">Paper </a></td> | ||
<td> N/A </td> | ||
<td>0.579 <span>±</span> 0.023 </td> | ||
</tr> | ||
<tr> | ||
<td> 12 </td> | ||
<td> AttrMasking </td> | ||
<td><a href="mailto:[email protected]">Kexin Huang</a></td> | ||
<td><a href="https://github.com/mims-harvard/TDC/tree/main/examples/single_pred/admet"> GitHub</a>, <a href="https://arxiv.org/abs/1905.12265">Paper </a></td> | ||
<td> 2,067,053 </td> | ||
<td>0.577 <span>±</span> 0.087 </td> | ||
</tr> | ||
<tr> | ||
<td> 11 </td> | ||
<td> 13 </td> | ||
<td> GCN </td> | ||
<td><a href="mailto:[email protected]">Kexin Huang</a></td> | ||
<td><a href="https://github.com/mims-harvard/TDC/tree/main/examples/single_pred/admet"> GitHub</a>, <a href="https://arxiv.org/abs/1609.02907">Paper </a></td> | ||
<td> 191,810 </td> | ||
<td>0.566 <span>±</span> 0.115 </td> | ||
</tr> | ||
<tr> | ||
<td> 12 </td> | ||
<td> 14 </td> | ||
<td> Basic ML </td> | ||
<td><a href="mailto:[email protected]">Nilavo Boral</a></td> | ||
<td><a href="https://github.com/NilavoBoral/Therapeutics-Data-Commons"> GitHub</a>, <a href="https://www.biorxiv.org/content/10.1101/2022.06.29.115436v1">Paper </a></td> | ||
|
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