Update src/about.py

src/about.py

@@ -102,7 +102,7 @@ EVALUATION_QUEUE_TEXT = """
 """
 
 CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
-CITATION_BUTTON_TEXT = r"""Unsal, S., Atas, H., Albayrak, M., Turhan, K., Acar, A. C., & Doğan, T. (2022). Learning functional properties of proteins with language models. *Nature Machine Intelligence, 4*(3), 227-245.
+CITATION_BUTTON_TEXT = r"""Çevrim, E., Yiğit, M. G., Ulusoy, E., Yılmaz, A., & Doğan, T. (2025). A Benchmarking Platform for Assessing Protein Language Models on Function-related Prediction Tasks. In Protein Function Prediction: Methods and Protocols (pp. 241-268). New York, NY: Springer US.
 """
 
 CSV_RESULT_PATH = "./src/data/results.csv"
@@ -119,7 +119,9 @@ Welcome to the PROBE (Protein RepresentatiOn BEnchmark) leaderboard! This platfo
 
 Submit your own representation models and compare their performance across these benchmarks. For more details on how to participate, see the submission guidelines at Submit Here! tab. For descriptions of each benchmark and its metrics, please refer to the About tab. To visualize results, visit the Visualization tab.
 
-If you find PROBE useful, please consider citing our work:
+If you find PROBE Leaderboard useful, please consider citing our work:
+
+Çevrim, E., Yiğit, M. G., Ulusoy, E., Yılmaz, A., & Doğan, T. (2025). A Benchmarking Platform for Assessing Protein Language Models on Function-related Prediction Tasks. In Protein Function Prediction: Methods and Protocols (pp. 241-268). New York, NY: Springer US.
 
 Unsal, S., Atas, H., Albayrak, M., Turhan, K., Acar, A. C., & Doğan, T. (2022). Learning functional properties of proteins with language models. *Nature Machine Intelligence, 4*(3), 227-245.
 """