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fix optional import and typo (#249)
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Co-authored-by: zhougengmo <[email protected]>
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ZhouGengmo and zhougengmo authored Jul 15, 2024
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2 changes: 1 addition & 1 deletion unimol/unimol/utils/conformer_model.py
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Expand Up @@ -12,7 +12,7 @@
import argparse
import warnings
from docking_utils import rmsd_func
from typing import List
from typing import List, Optional


warnings.filterwarnings(action="ignore")
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6 changes: 3 additions & 3 deletions unimol_docking_v2/README.md
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Expand Up @@ -2,8 +2,8 @@ Uni-Mol Docking V2
===================================================================
[![arXiv](https://img.shields.io/badge/arXiv-2405.11769-00ff00.svg)](https://arxiv.org/abs/2405.11769) ![Static Badge](https://img.shields.io/badge/Bohrium_Apps-Uni--Mol_Docking_V2-blue?link=https%3A%2F%2Fbohrium.dp.tech%2Fapps%2Funimoldockingv2)

<p align="center"><img src="figure/bohrium_app.png" width=60%></p>
<p align="center"><b>Uni-Mol Docking V2 Bohrium App Interface</b></p>
<p align="center"><img src="figure/bohrium_app.gif" width=60%></p>
<p align="center"><b>Uni-Mol Docking V2 Bohrium App</b></p>

We update Uni-Mol Docking to Uni-Mol Docking V2, which demonstrates a remarkable improvement in performance, accurately predicting the binding poses of 77+% of ligands in the PoseBusters benchmark with an RMSD value of less than 2.0 Å, and 75+\% passing all quality checks. This represents a significant increase from the 62% achieved by the previous Uni-Mol Docking model. Notably, our Uni-Mol Docking approach generates chemically accurate predictions, circumventing issues such as chirality inversions and steric
clashes that have plagued previous ML models.
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| DiffDock | 37.9 |71.76 |
| UMol | 45| - |
| Vina | 52.3 | 57.65 |
| Uni-Mol Docking | 58.9 | 82.35 |
| Uni-Mol Docking | 62.4 | 82.35 |
| AlphaFold latest | 73.6 | - |
| **Uni-Mol Docking V2** | **77.6** | **95.29**|

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