Update README.md

README.md

@@ -333,7 +333,9 @@ models had >60% coil content or DMPFold models with >80% coil content,
 was less than 0.4, and (3) if the Rosetta and DMPfold models had TM-score
 less than 0.5. Functional annotations of the entire dataset were
 created using structure-based Graph Convolutional Network
-embeddings from DeepFRI.
+embeddings from DeepFRI. *The highest quality structure for each sequence for
+both Rosetta and DMPFold, is included in this dataset; the entire dataset of more
+than 5 billion Rosetta models and 1 million DMPFold models is available upon request.*
 
 - **Acknowledgements:**
   We kindly acknowledge the support of the IBM World Community Grid team