Update README.md

README.md

@@ -18,7 +18,7 @@ widget:
 
 ## Model description
 
-cdsBERT is pLM with a codon vocabulary that was seeded with [ProtBERT](https://huggingface.co/Rostlab/prot_bert_bfd) and trained with a novel vocabulary extension pipeline called MELD. cdsBERT offers a highly biologically relevant latent space with excellent EC number prediction surpassing ProtBERT.
+[cdsBERT](https://doi.org/10.1101/2023.09.15.558027) is pLM with a codon vocabulary that was seeded with [ProtBERT](https://huggingface.co/Rostlab/prot_bert_bfd) and trained with a novel vocabulary extension pipeline called MELD. cdsBERT offers a highly biologically relevant latent space with excellent EC number prediction surpassing ProtBERT.
 
 ## How to use
 
@@ -46,10 +46,18 @@ vector_embedding = matrix_embedding.mean(dim=0)
 ```
 
 ## Intended use and limitations
-cdsBERT serves as a general purpose 
+cdsBERT serves as a general-purpose protein language model with a codon vocabulary. Fine-tuning with Huggingface transformers models like BertForSequenceClassification enables downstream classification and regression tasks. Currently, the base capability enables feature extraction and mask filling.
 
 ## Our lab
-The [Gleghorn lab](https://www.gleghornlab.com/) is an interdiciplinary research group at the University of Delaware that focuses on solving translational problems with our expertise in engineering, biology, and chemistry. We develop inexpensive and reliable tools to study organ development, maternal-fetal health, and drug delivery. Recently we have begun exploration into protein language models and strive to make protein design and annotation accessible.
+The [Gleghorn lab](https://www.gleghornlab.com/) is an interdisciplinary research group at the University of Delaware that focuses on solving translational problems with our expertise in engineering, biology, and chemistry. We develop inexpensive and reliable tools to study organ development, maternal-fetal health, and drug delivery. Recently we have begun exploration into protein language models and strive to make protein design and annotation accessible.
 
 ## Please cite
-Coming soon!
+@article {Hallee_cds_2023,
+	author = {Logan Hallee, Nikolaos Rafailidis, and Jason P. Gleghorn},
+	title = {cdsBERT - Extending Protein Language Models with Codon Awareness},
+	year = {2023},
+	doi = {10.1101/2023.09.15.558027},
+	publisher = {Cold Spring Harbor Laboratory},
+	journal = {bioRxiv}
+}
+