update antibody paper

Author: Oxer11

Diff for: index.html

@@ -207,7 +207,7 @@ <h2 id="outline">Outline</h2>
       <li><strong>Q&A [5 mins]</strong></li>
     </ul>
   </li>
-  <li><strong>Part IV: Protein Design [60 min, Jiwoong, <a href="https://www.dropbox.com/scl/fi/y0pwovl3ghx5xiq0l36hi/part_4-Jin-edited.pdf?rlkey=fkdwyg7xve2z8sbo7u4huapto&dl=0">slides</a>]</strong>
+  <li><strong>Part IV: Protein Design [60 min, Jiwoong & Wengong, <a href="https://www.dropbox.com/scl/fi/y0pwovl3ghx5xiq0l36hi/part_4-Jin-edited.pdf?rlkey=fkdwyg7xve2z8sbo7u4huapto&dl=0">slides</a>]</strong>
     <ul>
       <li><strong>Sequence Design</strong>
         <ul>
@@ -234,6 +234,10 @@ <h2 id="outline">Outline</h2>
       </li>
       <li><strong>Antibody Design</strong>
         <ul><li>RefineGNN <a class="citation" href="#jin2021refinegnn">(Jin et al., 2021)</a>, AbX <a class="citation" href="#zhu2024abx">(Zhu et al., 2024)</a></li></ul>
+        <ul><li>DSMBind <a class="citation" href="#jin2023dsmbind">(Jin et al., 2023)</a>, HERN <a class="citation" href="#jin2022hern">(Jin et al., 2022)</a></li></ul>
+      </li>
+      <li><strong>RNA Design</strong>
+        <ul><li>RNAFlow <a class="citation" href="#divya2024rnaflow">(Divya et al., 2024)</a>, FAFormer <a class="citation" href="#huang2024faformer">(Huang et al., 2024)</a></li></ul>
       </li>
       <li><strong>Q&A [5 mins]</strong></li>
     </ul>
@@ -361,6 +365,10 @@ <h2 id="references">References</h2>
 <li><span id="chu2024protpardelle">Chu, Alexander E., et al. "An all-atom protein generative model." <i>PNAS 2024</i>.</span></li>
 <li><span id="jin2021refinegnn">Jin, Wengong, et al. "Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design." <i>ICLR 2021</i>.</span></li>
 <li><span id="zhu2024abx">Zhu, Tian, Milong Ren, and Haicang Zhang. "Antibody Design Using a Score-based Diffusion Model Guided by Evolutionary, Physical and Geometric Constraints." <i>ICML 2024</i>.</span></li>
+<li><span id="jin2023dsmbind">Jin, Wengong, et al. "DSMBind: SE (3) denoising score matching for unsupervised binding energy prediction and nanobody design." <i>NeurIPS 2023</i>.</span></li>
+<li><span id="jin2022hern">Jin, Wengong, Regina Barzilay, and Tommi Jaakkola. "Antibody-antigen docking and design via hierarchical equivariant refinement." <i>ICML 2022</i>.</span></li>
+<li><span id="divya2024rnaflow">Nori, Divya, and Wengong Jin. "Rnaflow: Rna structure & sequence design via inverse folding-based flow matching." <i>ICML 2024</i>.</span></li>
+<li><span id="huang2024faformer">Huang, Tinglin, et al. "Protein-nucleic acid complex modeling with frame averaging transformer." <i>NeurIPS 2024</i>.</span></li>
 
 
 <!-- <li><span id="sun2019infograph">Sun, F.-Y., Hoffmann, J., Verma, V., &amp; Tang, J. (2020). Infograph: Unsupervised and semi-supervised graph-level representation learning via mutual information maximization. <i>ICLR</i>.</span></li>