update paper link and fix typos

README.md

@@ -4,8 +4,8 @@ license: mit
 
 ## Constant-650M
 Constant-650M is an antibody language model that uses an [ESM-2](https://www.science.org/doi/10.1126/science.ade2574) architecture. 
-It was pre-trained on unpaired and paired sequences from the [OAS](https://opig.stats.ox.ac.uk/webapps/oas/), using the constant approach described in our [preprint on biorxiv](https://doi.org/10.1101/2025.02.27.640641). 
-Datasets used for pre-training are avaliable on [Zenodo](https://doi.org/10.5281/zenodo.14661302) and code is avaliable on [GitHub](https://github.com/brineylab/curriculum-paper).  
+It was pre-trained on unpaired and paired sequences from the [OAS](https://opig.stats.ox.ac.uk/webapps/oas/), using the constant approach described in [our paper](https://doi.org/10.1371/journal.pcbi.1013473) published in PLOS Computational Biology. 
+Datasets used for pre-training are available on [Zenodo](https://doi.org/10.5281/zenodo.14661302) and code is available on [GitHub](https://github.com/brineylab/curriculum-paper).  
 
 ### Use
 Load the model and tokenizer as follows: