Update README.md

README.md

@@ -2,6 +2,7 @@
 
 # AIDO.StructurePrediction
 
+<img src="assets/vis.png" width="1300" />
 
 ## Model Description  
 
@@ -14,7 +15,7 @@ better than AF3 on immunology related structure prediction tasks,
 including those involving antibodies, nanobodies, and antibody-antigen as well as nanobody-antigen interactions. 
 We are currently evaluating its capabilities for other structural interactions involving combinations of proteins, DNA, RNA, and ligands.
 
-<img src="assets/vis.png" width="1300" />
+
 
 
 ## Model Details  
@@ -27,7 +28,7 @@ We are currently evaluating its capabilities for other structural interactions i
 - **Training Strategies**: Adopts advanced training methodologies to optimize model performance and efficiency.
 
 ### Model Architecture  
-- **Type**: AlphaFold3-like model architecture. 
+- **Type**: Pairformer+Diffusion model architecture. 
 - **Key Components**:  
   - **Pairformer**: Designed to learn complex relationships from both single sequences and multiple sequence alignments. 
   - **Diffusion Module**: Generates multiple conformations of the structure.
@@ -83,6 +84,14 @@ inaccurate metric values and hinder head-to-head comparisons between different m
     </div>  
 </div> 
 
+## License and Disclaimer  
+
+This project is under the GenBio AI Community License (also ModelGenerator's license). For commercial use, please contact us.
+
+If you discover a potential security issue in this project, or believe you have found a security vulnerability,
+we request that you notify Genbio AI via email. Please do **not** create a public GitHub issue for security concerns.
+
+
 ## Acknowledgements  
 
 We would like to thank the Protenix team for their public training codebase and contributions to the field of 
@@ -93,14 +102,6 @@ Additionally, we thank DeepMind's AlphaFold3 for their outstanding contributions
 If you find our work useful, please also cite [Protenix](https://github.com/bytedance/Protenix), 
 [MMseqs2](https://github.com/soedinglab/MMseqs2), and [AlphaFold3](https://github.com/google-deepmind/alphafold3).  
 
-## License and Disclaimer  
-
-This project uses the default license of ModelGenerator. For commercial use, please contact us. 
-As we built the model based on the public [Protenix](https://github.com/bytedance/Protenix) codebase. 
-Please ensure to follow Protenix's license as well. .  
-
-If you discover a potential security issue in this project, or believe you have found a security vulnerability, 
-we request that you notify Genbio AI via email. Please do **not** create a public GitHub issue for security concerns.
 
 
 # Citation