Sync DSMBind checkpoints and model card

.gitattributes

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+model.antibody.allatom filter=lfs diff=lfs merge=lfs -text
+model.drug.allatom filter=lfs diff=lfs merge=lfs -text
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PDL1.ckpt

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README.md

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+---
+license: mit
+tags:
+  - protein-ligand
+  - binding-affinity
+  - dsmbind
+library_name: pytorch
+---
+
+# DSMBind_modal
+
+Modal-ready checkpoint repository for DSMBind.
+
+## Credit
+
+This repository redistributes DSMBind checkpoints from the DSMBind project:
+
+- Jin et al., *DSMBind: SE(3) denoising score matching for unsupervised binding energy prediction and nanobody design*, bioRxiv 2023
+- Jin et al., *Unsupervised protein-ligand binding energy prediction with Neural Euler's Rotation Equations*, NeurIPS 2023
+
+## Included checkpoints
+
+- `model.drug.allatom` (protein-ligand all-atom scoring)
+- `model.antibody.allatom` (antibody-antigen)
+- `model.skempi.allatom` (protein-protein)
+- `cross.ckpt`
+- `dock.cdr1.ckpt`, `dock.cdr2.ckpt`, `dock.cdr3.ckpt`, `dock.sc.ckpt`
+- `PDL1.ckpt`, `aaratio.ckpt`
+
+## Score semantics
+
+For DSMBind inference, **higher predicted DSMBind score means better predicted binding**.

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