removed description from about and added linkk to Qrious

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Navan Chauhan 2020-11-08 17:22:01 +05:30
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{% set active_page = "about" %} {% set active_page = "about" %}
{% block main %} {% block main %}
<h1>About Curie Web</h1> <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> <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> <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> <h4>Drug Designing</h4>

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<ul> <ul>
<li><a href="{{ url_for('pubmed') }}">PubMed Search</a> - Handy PubMed search with direct download links</li> <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><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> </ul>
<h3>Analyse</h3> <h3>Analyse (Beta)</h3>
<ul> <ul>
<li><a href="{{ url_for('propalert') }}">Chemical Properties and Alerts</a> - Find Chemical properties and check structure for alerts.</li> <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> <li><a href="#">Druggability</a> - Classify druggability of a compound using a ML Model.</li>