From 12bcd3b48a1279cac3624b8d55c2286a6677a9de Mon Sep 17 00:00:00 2001
From: Navan Chauhan <navanchauhan@gmail.com>
Date: Thu, 24 Sep 2020 18:15:43 +0530
Subject: added reference for LSTM

---
 app/templates/about.html | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/app/templates/about.html b/app/templates/about.html
index 7c7a805..59fdcd4 100644
--- a/app/templates/about.html
+++ b/app/templates/about.html
@@ -6,7 +6,7 @@
     <h4>Docking</h4>
     <p>This section deals with Molecular Docking and protein-ligand interactions. It uses AutoDock Vina<sup>[1]</sup> for docking, PyMOL<sup>[2]</sup> for visualisations, and PLIP<sup>[3]</sup> for interactions and binding site detection.</p>
     <h4>Drug Designing</h4>
-    <p>LSTM based on GitHub Code <sup>[4]</sup> which is based on the paper <sup>[5]</sup></p>
+    <p>LSTM based on @topazape's LSTM_Chem<sup>[4]</sup>, a Tensorflow implementation of the paper Generative Recurrent Networks for De Novo Drug Design<sup>[5]</sup></p>
     <h4>Research</h4>
     <p>Quick Searches for PubMed and PubChem are powered by their respective APIs. Qrious app is written in SwiftUI and uses the FigShare API along with a pre-trained BERT<sup>[6]</sup> model.</p>
     <section>
@@ -17,9 +17,9 @@
         <br>
         [3] Salentin et al. (2015) <cite>PLIP: fully automated protein-ligand interaction profiler. Nucl. Acids Res. (1 July 2015) 43 (W1): W443-W447</cite>
         <br>
-        [4]
+        [4] https://github.com/topazape/LSTM_Chem/
         <br>
-        [5]
+        [5] A. Gupta et al. Mol. Inf. 2018, 37, 1700111.
         <br>
         [6] T. Wolf et al. <cite>HuggingFace's Transformers: State-of-the-art Natural Language Processing</cite>
     </section>
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