Update README.md

README.md

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 # PepDoRA: A Modified Peptide-Specific Language Model via Weight-Decomposed Low-Rank Adaptation
 
-In this work, we introduce **PepDoRA**, a novel pLM that fine-tunes the state-of-the-art ChemBERTa-77M-MLM SMILES transformer on modified peptide SMILES for downstream membrane permeability prediction and representation learning.
+In this work, we introduce **PepDoRA**, a novel language that fine-tunes the state-of-the-art [ChemBERTa-77M-MLM](https://huggingface.co/DeepChem/ChemBERTa-77M-MLM) transformer on modified peptide SMILES via [DoRA](https://nbasyl.github.io/DoRA-project-page/), a novel PEFT method that incorporates weight decomposition. These representations can be leveraged for numerous downstream tasks, including membrane permeability prediction and target binding assessment, for both unmodified and modified peptide sequences.
 
 Here's how to extract PepDoRA embeddings for your input peptide: