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README.md
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@@ -45,7 +45,7 @@ The table shows the results on the [Wiggle150](https://pubs.acs.org/doi/10.1021/
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| **Method** | **MAE (kcal/mol)** | **RMSE (kcal/mol)** |
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|------------|--------------------|---------------------|
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| AceFF-2.0 |
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| AceFF-1.1 | 2.51 | 3.18 |
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| AceFF-1.0 | 2.73 | 3.32 |
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| AIMNet2 | 2.39 | 3.13 |
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*Performance of MLIPs on Wiggle150 benchmark*
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We create our own hold-out test set by labelling 650 ligands from the [Schrodinger public binding free energy benchmark](https://github.com/schrodinger/public_binding_free_energy_benchmark) (Jacs, Merk, and charge_annhil sets) with AceFF's DFT level of theory. We evaluate the Force MAE of the AceFF predictions.
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---
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## Key Features
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- **Broad Applicability:** Supports diverse drug-like molecules, including charged species and rare chemical groups.
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- **High Accuracy:**
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- **Improved Stability:** Enables a 2 fs timestep for NNP/MM simulations, significantly reducing computational costs.
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- **Integration-Friendly:** Available for RBFE calculations via [HTMD](https://github.com/acellera/htmd).
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- **Open Science:** The model
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| **Method** | **MAE (kcal/mol)** | **RMSE (kcal/mol)** |
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| AceFF-2.0 | 1.76 | 2.34 |
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| AceFF-1.1 | 2.51 | 3.18 |
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| AceFF-1.0 | 2.73 | 3.32 |
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| AIMNet2 | 2.39 | 3.13 |
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*Performance of MLIPs on Wiggle150 benchmark*
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More bechmarks coming soon in a pre-print, stay tuned...
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---
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## Key Features
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- **Broad Applicability:** Supports diverse drug-like molecules, including charged species and rare chemical groups.
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- **High Accuracy:** Benchmarked on a wide array of test cases.
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- **Improved Stability:** Enables a 2 fs timestep for NNP/MM simulations, significantly reducing computational costs.
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- **Integration-Friendly:** Available for RBFE calculations via [HTMD](https://github.com/acellera/htmd).
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- **Open Science:** The model is available with an Apache 2.0 license.
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