Molecular Visualization in Streamlit Using RDKit and Py3DMol (Part 2)
<p>When I asked </p>
<p><a href="https://medium.com/u/39dfc90d7a34?source=post_page-----657d28152753--------------------------------" rel="noopener" target="_blank">Adrien Treuille</a></p>
<p> <a href="https://jnapoles.medium.com/is-it-possible-to-use-streamlit-to-visualize-molecules-b4e29700f61c" rel="noopener">how to deploy 3D structures on Streamlit</a>, I was soon contacted by </p>
<p><a href="https://medium.com/u/a3d0cc1d5338?source=post_page-----657d28152753--------------------------------" rel="noopener" target="_blank">TC Ricks</a></p>
<p>, and he proposed me to develop a <a href="https://streamlit.io/components" rel="noopener ugc nofollow" target="_blank">Streamlit Component</a>, when components were not yet released to the public. I worked on that and finally developed <a href="https://github.com/napoles-uach/streamlit_3dmol" rel="noopener ugc nofollow" target="_blank"><strong>stmol</strong></a><em> </em>component. That was intense for me, but I indeed learned a lot.</p>
<p>In this post, I want to share with you three simple examples of how to easily make molecular viewers using <em>stmol</em>, <em>py3Dmol, </em>and <em>RDKit</em>. I really hope this can be of help for others to do awesome web apps for chemistry-related fields.</p>
<p>You can find the repo for this blog post here.</p>
<p><a href="https://towardsdatascience.com/molecular-visualization-in-streamlit-using-rdkit-and-py3dmol-part-2-657d28152753"><strong>Website</strong></a></p>