add dynamcBind in ligand binding tool category

README.md

@@ -52,7 +52,7 @@ You can expand this collection: by following [contribution guideline](./CONTRIBU
 
 **Paper:** [Computational and Structural Biotechnology Journal](https://www.sciencedirect.com/science/article/pii/S2001037025000224)
 
-**Code:** [GitHub](https://github.com/ohuelab/SpatialPPIv2)
+**Code:** [GitHub - SpatialPPI](https://github.com/ohuelab/SpatialPPIv2)
 
 **Licence:** Apache-2.0 license 
 
@@ -82,6 +82,20 @@ You can expand this collection: by following [contribution guideline](./CONTRIBU
 
 > Tools focused on predicting, modeling, or simulating the binding of small molecules (ligands) to macromolecules, including docking software and scoring methods.
 
+### [DynamicBind](https://github.com/luwei0917/DynamicBind) – *January 2024*
+
+**Description:** DynamicBind recovers ligand-specific conformations from unbound protein structures (e.g. AF2-predicted structures), promoting efficient transitions between different equilibrium states.
+
+**Paper:** [Nature com.](https://www.nature.com/articles/s41467-024-45461-2)
+
+**Code:** [GitHub – DynamicBind](https://github.com/luwei0917/DynamicBind)
+
+**Licence:** MIT
+
+**Tags:** #ligand-binding #conformations #ai #open-source #diffusion #state-transition
+
+---
+
 ### [GNINA](https://github.com/gnina/gnina) – *June 2021*
 
 **Description:** Molecular docking software with integrated convolutional neural networks for scoring protein–ligand binding.