Update About.py

About.py

@@ -30,7 +30,7 @@ def run():
 
     st.markdown(
         """
-        This application demonstrates the generation capabilities of the models trained as part of the study below, which has been accepted for publication in *Bioinformatics* Published by Oxford University Press. The available models are: 
+        This application demonstrates the generation capabilities of the models trained as part of the study below, which has been published in *Bioinformatics* Published by Oxford University Press. The available models are: 
         * WarmMolGen
             - WarmMolGenOne (i.e. EncDecBase)
             - WarmMolGenTwo (i.e. EncDecLM)
@@ -60,21 +60,16 @@ def run():
         **Availability and implementation:** The source code is available at https://github.com/boun-tabi/biochemical-lms-for-drug-design and the materials (i.e., data, models, and outputs) are archived in Zenodo at https://doi.org/10.5281/zenodo.6832145. 
         ### Citation
         ```bibtex
-        @misc{https://doi.org/10.48550/arxiv.2209.00981,
-          doi = {10.48550/ARXIV.2209.00981},
-          
-          url = {https://arxiv.org/abs/2209.00981},
-          
-          author = {Uludoğan, Gökçe and Ozkirimli, Elif and Ulgen, Kutlu O. and Karalı, Nilgün and Özgür, Arzucan},
-          
-          keywords = {Machine Learning (cs.LG), Computation and Language (cs.CL), Biomolecules (q-bio.BM), Quantitative Methods (q-bio.QM), Machine Learning (stat.ML), FOS: Computer and information sciences, FOS: Computer and information sciences, FOS: Biological sciences, FOS: Biological sciences},
-          
-          title = {Exploiting Pretrained Biochemical Language Models for Targeted Drug Design},
-          
-          publisher = {arXiv},
-          
-          year = {2022}
-          
+        @article{10.1093/bioinformatics/btac482,
+            author = {Uludoğan, Gökçe and Ozkirimli, Elif and Ulgen, Kutlu O and Karalı, Nilgün and Özgür, Arzucan},
+            title = "{Exploiting pretrained biochemical language models for targeted drug design}",
+            journal = {Bioinformatics},
+            volume = {38},
+            number = {Supplement_2},
+            pages = {ii155-ii161},
+            year = {2022},
+            doi = {10.1093/bioinformatics/btac482},
+            url = {https://doi.org/10.1093/bioinformatics/btac482},
         }
         ```
     """