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| author | Navan Chauhan <navanchauhan@gmail.com> | 2020-09-19 17:09:45 +0530 |
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| committer | Navan Chauhan <navanchauhan@gmail.com> | 2020-09-19 17:09:45 +0530 |
| commit | 4e2aea92077ccbf3873b02df4c5f4a275cd80873 (patch) | |
| tree | d5844fe4d6e775b0c93128bdbeccda2c979f517c | |
| parent | 92b2da20a115b978f9789e6e0a353d44ddcabe62 (diff) | |
added more info and references
| -rw-r--r-- | app/templates/about.html | 25 |
1 files changed, 20 insertions, 5 deletions
diff --git a/app/templates/about.html b/app/templates/about.html index c360003..7c7a805 100644 --- a/app/templates/about.html +++ b/app/templates/about.html @@ -3,11 +3,26 @@ {% 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>Dock and Report</h4> - <p>This module uses AutoDock Vina to perform molecular docking on the specified molecular docking. It then uses PyMOL - to create high quality ray-traced visualisations. After finding and tabulating protein ligand interactions using PLIP, - it creates a PDF and emails you the report ( Along with supporting files )</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> + <p>LSTM based on GitHub Code <sup>[4]</sup> which is based on the paper <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> + <h2>References</h4> + [1] O. Trott, A. J. Olson<cite>AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization and multithreading, Journal of Computational Chemistry 31 (2010) 455-461</cite> + <br> + [2] Schrödinger, LLC <cite>The PyMOL Molecular Graphics System, Version 2.0</cite> + <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] + <br> + [5] + <br> + [6] T. Wolf et al. <cite>HuggingFace's Transformers: State-of-the-art Natural Language Processing</cite> + </section> <section> <style> #astronaut{ |