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@@ -66,7 +66,7 @@ To tackle this difficulty, literature suggests the implementation of machine lea
     <h1 id="references">References</h1>
     <p style="color: white;">[1] McMahon, C. et. al (2018) Yeast surface display platform for rapid discovery of conformationally selective nanobodies. Nature</p>
 <p style="color: white;">[2] Cohen, T. et. al (2021) NanoNet: Rapid end-to-end nanobody modeling by deep learning at sub angstrom resolution. bioRxiv</p>
-[<p style="color: white;">3] Ye, C. et. al (2021) Machine learning prediction of Antibody-Antigen binding: dataset, method and testing. bioRxiv
+<p style="color: white;"[]>3] Ye, C. et. al (2021) Machine learning prediction of Antibody-Antigen binding: dataset, method and testing. bioRxiv
 </p>