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authorNavan Chauhan <navanchauhan@gmail.com>2020-11-08 17:22:01 +0530
committerNavan Chauhan <navanchauhan@gmail.com>2020-11-08 17:22:01 +0530
commit5e16268c5ab3e94ea77704420a0a8bd87e671ecf (patch)
treef8e20ffe3c3b2233726728e66b4a10f1c2d8e5f5
parent8622ea518cc1f79349ed997a8e97e92d1037d4b9 (diff)
removed description from about and added linkk to Qrious
-rw-r--r--app/templates/about.html1
-rw-r--r--app/templates/home.html4
2 files changed, 2 insertions, 3 deletions
diff --git a/app/templates/about.html b/app/templates/about.html
index 59fdcd4..4e4c710 100644
--- a/app/templates/about.html
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@@ -2,7 +2,6 @@
{% set active_page = "about" %}
{% block main %}
<h1>About Curie Web</h1>
- <p>Curie Web is a web interface for my private Python Library called "Curie", with some aditional superpowers.</p>
<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>
diff --git a/app/templates/home.html b/app/templates/home.html
index d67cac7..f4d1a99 100644
--- a/app/templates/home.html
+++ b/app/templates/home.html
@@ -20,10 +20,10 @@
<ul>
<li><a href="{{ url_for('pubmed') }}">PubMed Search</a> - Handy PubMed search with direct download links</li>
<li><a href="{{url_for('pubchem')}}">PubChem Search</a> - Get Compound SMILES</li>
- <li>Qrious App - You can enter a question for a set of papers (e.g. ChemRxiv preprints) and it uses AI to answer it for each individual paper based on their abstract</li>
+ <li><a href="https://github.com/navanchauhan/Qrious">Qrious App</a> (v0.1) - You can enter a question for a set of papers (e.g. ChemRxiv preprints) and it uses AI to answer it for each individual paper based on their abstract</li>
</ul>
- <h3>Analyse</h3>
+ <h3>Analyse (Beta)</h3>
<ul>
<li><a href="{{ url_for('propalert') }}">Chemical Properties and Alerts</a> - Find Chemical properties and check structure for alerts.</li>
<li><a href="#">Druggability</a> - Classify druggability of a compound using a ML Model.</li>