updated paper links

Domain2GO.py

@@ -18,7 +18,7 @@ submitted = False
 
 with st.sidebar:
     st.title("Domain2GO: Mutual Annotation-Based Prediction of Protein Domain Functions")
-    st.write("[![biorxiv](https://img.shields.io/badge/bioRxiv-2022.11.03.514980-b31b1b.svg)](https://www.biorxiv.org/content/10.1101/2022.11.03.514980v1) [![github-repository](https://img.shields.io/badge/GitHub-black?logo=github)](https://github.com/HUBioDataLab/Domain2GO)")
+    st.write("[![publication](https://img.shields.io/badge/DOI-10.1002/pro.4988-b31b1b.svg)](https://doi.org/10.1002/pro.4988) [![github-repository](https://img.shields.io/badge/GitHub-black?logo=github)](https://github.com/HUBioDataLab/Domain2GO)")
 
     if 'example_seq_button' not in st.session_state:
         st.session_state.example_seq_button = False

pages/About.py

@@ -15,7 +15,7 @@ st.markdown('''
 st.markdown(
     """
 
-[![biorxiv](https://img.shields.io/badge/bioRxiv-2022.11.03.514980-b31b1b.svg)](https://www.biorxiv.org/content/10.1101/2022.11.03.514980v1) [![github-repository](https://img.shields.io/badge/GitHub-black?logo=github)](https://github.com/HUBioDataLab/Domain2GO)
+[![publication](https://img.shields.io/badge/DOI-10.1002/pro.4988-b31b1b.svg)](https://doi.org/10.1002/pro.4988) [![github-repository](https://img.shields.io/badge/GitHub-black?logo=github)](https://github.com/HUBioDataLab/Domain2GO)
 
 """)
 
@@ -35,15 +35,16 @@ Domain2GO is developed with the aim of identifying unknown protein functions by
 
 We applied Domain2GO to predict protein functions, by propagating domain-associated GO terms to proteins that are annotated with those domains. For protein function prediction performance evaluation and comparison against other methods, we employed CAFA3 challenge datasets. The results demonstrated the potential of Domain2GO, especially when predicting molecular function and biological process terms, as it performed better than baseline predictors and curated associations (Fmax = 0.48 and 0.36 for MFO and BPO, respectively).
 
-For more information on the construction of Domain2GO mappings, statistical analysis of mappings, calculation of probability scores and protein function prediction performance evaluation, please refer to our pre-print article:
+For more information on the construction of Domain2GO mappings, statistical analysis of mappings, calculation of probability scores and protein function prediction performance evaluation, please refer to our publication. If you use Domain2GO in your research, please cite the following paper:
 
-Ulusoy, E., & Dogan, T. (2022). Mutual Annotation-Based Prediction of Protein Domain Functions with Domain2GO. *bioRxiv*, 514980v1. [Link](https://www.biorxiv.org/content/10.1101/2022.11.03.514980v1)
+Ulusoy E, Doğan T. Mutual annotation-based prediction of protein domain functions with Domain2GO. Protein Science. 2024; 33(6): e4988. [Link](https://doi.org/10.1002/pro.4988)
 
 Overall workflow of Domain2GO is shown below.
 
 """)
 
 
+
 st.header('Schematic overview of Domain2GO', anchor='schematic-overview')
 st.image('figures/full_methodology.png', width=700)