Update README.md

README.md

@@ -6,7 +6,10 @@ library_name: peft
 # Model Card for Model ID
 
 <!-- Provide a quick summary of what the model is/does. -->
-This model is used to predict mutation fitness score of protein UBC9_HUMAN (SUMO-conjugating enzyme UBC9). 
+This model is trained on a sigle site deep mutation scanning dataset and
+can be used to predict fitness score of mutant amino acid sequence of protein [UBC9_HUMAN](https://www.uniprot.org/uniprotkb/P63279/entry) (SUMO-conjugating enzyme UBC9). 
+
+## Protein Function
 This proterin can accepts the ubiquitin-like proteins SUMO1, SUMO2, SUMO3, SUMO4 and SUMO1P1/SUMO5 from the UBLE1A-UBLE1B E1 complex and
 catalyzes their covalent attachment to other proteins with the help of an E3 ligase such as RANBP2, CBX4 and ZNF451.
 
@@ -15,7 +18,9 @@ protein level regression
 
 ### Dataset description
 The dataset is from [Deep generative models of genetic variation capture the effects of mutations](https://www.nature.com/articles/s41592-018-0138-4).
+And can also be found on [SaprotHub dataset](https://huggingface.co/datasets/SaProtHub/DMS_UBC9_HUMAN).
 
+Label means fitness score of each mutant amino acid sequence.
 ### Model input type
 Amino acid sequence