Update README.md

README.md

@@ -35,6 +35,22 @@ configs:
         path: datasets/splits/km-random_trainval.csv
       - split: test
         path: datasets/splits/km-random_trainvaltest.csv
+dataset_summary: >- 
+  Dataset containing enzyme kinetic measurements (Kcat, Km, Ki)
+dataset_description: >- 
+  CatPred-DB contains the benchmark datasets introduced alongside the CatPred deep learning framework for predicting in vitro enzyme kinetic parameters. The datasets cover three key kinetic parameters: Kcat, Km, Ki.
+acknowledgements: >- 
+  We kindly acknowledge the support of the Rosetta Commons Data Bazaar organizers. 
+repo: https://github.com/maranasgroup/CatPred-DB
+citation_bibtex: |-
+  @article{boorla2025catpred,
+    title={CatPred: a comprehensive framework for deep learning in vitro enzyme kinetic parameters},
+    author={Boorla, Veda Sheersh and Maranas, Costas D.},
+    journal={Nature Communications},
+    volume={16},
+    pages={2072},
+    year={2025},
+    doi={10.1038/s41467-025-57215-9}
 ---
 
 # CatPred-DB: Enzyme Kinetic Parameters Database