Update README.md

README.md

@@ -6,7 +6,7 @@ base_model: westlake-repl/SaProt_35M_AF2
 
 <!-- Provide a quick summary of what the model is/does. -->
 This model is trained on a sigle site deep mutation scanning dataset and
-can be used to predict fitness score of protein GAL4_YEAST (Regulatory protein). 
+can be used to predict fitness score of mutant amino acid sequence of protein [GAL4_YEAST](https://www.uniprot.org/uniprotkb/P04386/entry) (Regulatory protein). 
 
 ## Protein Function
 This protein is a positive regulator for the gene expression of the galactose-induced genes such as GAL1, GAL2, GAL7, GAL10, and MEL1 which code for the enzymes used to convert galactose to glucose. 
@@ -16,6 +16,9 @@ It recognizes a 17 base pair sequence in (5'-CGGRNNRCYNYNCNCCG-3') the upstream
 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_GAL4_YEAST).
+
+Label means fitness score of each mutant amino acid sequence.
 ### Model input type
 Amino acid sequence
 ### Performance