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| author | Navan Chauhan <navanchauhan@gmail.com> | 2020-09-24 18:15:43 +0530 |
|---|---|---|
| committer | Navan Chauhan <navanchauhan@gmail.com> | 2020-09-24 18:15:43 +0530 |
| commit | 12bcd3b48a1279cac3624b8d55c2286a6677a9de (patch) | |
| tree | c6da3205653ffd462c441c281da06346866faded | |
| parent | a2d92fe66b130a52740799ad15fcea7f7be6dac2 (diff) | |
added reference for LSTM
| -rw-r--r-- | app/templates/about.html | 6 |
1 files 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> |