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1 Parent(s): b2acfb0

Update app.py

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  1. app.py +11 -8
app.py CHANGED
@@ -148,7 +148,7 @@ if st.session_state.structure_info:
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  render_mol(info['pdb_string'])
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  st.subheader('plDDT Confidence Score')
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- st.write('plDDT is bench mark for scoring the confidence in prediction on a scale from 0-100%. 70% or more is really good!')
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  plddt_score = int(info["b_value"] * 100)
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  st.info(f'Average plDDT: {plddt_score}%')
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@@ -158,8 +158,8 @@ if st.session_state.structure_info:
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  <div style='background-color: #e6f2ff; padding: 10px; border-radius: 5px; font-size: 0.8em;'>
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  <ol>
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  <li>Take a screenshot of the protein structure above.</li>
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- <li>Click the 'Share on X' button below to open a pre-filled protein seed-words and score.</li>
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- <li>Attach your screenshot to your post before posting.</li>
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  </ol>
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  </div>
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  """, unsafe_allow_html=True)
@@ -168,14 +168,17 @@ if st.session_state.structure_info:
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  st.markdown(f"[Share Results]({tweet_url})")
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  st.markdown("""
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- ## Think might have discovered a useful and unique protein? Here is what to do next:
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- 1. Analyze your protein using (BLAST)](https://blast.ncbi.nlm.nih.gov/Blast.cgi?PROGRAM=blastp&PAGE_TYPE=BlastSearch&LINK_LOC=blasthome).
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- 2. Download protein data and visit the [Protein Data Bank (PDB)](https://www.rcsb.org/) for known protein structures.
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- 3. Compare your folded protein structure and data with known functional proteins.
 
 
 
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  **Remember, this folding is based on randomly generated sequences. Interpret the results with caution.
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- Enjoy exploring the world of protein sequences!
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  """)
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  render_mol(info['pdb_string'])
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  st.subheader('plDDT Confidence Score')
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+ st.write('plDDT is a bench mark for scoring the confidence level in protein folding prediction based on a scale from 0-100%. 70% or more is really good!')
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  plddt_score = int(info["b_value"] * 100)
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  st.info(f'Average plDDT: {plddt_score}%')
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  <div style='background-color: #e6f2ff; padding: 10px; border-radius: 5px; font-size: 0.8em;'>
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  <ol>
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  <li>Take a screenshot of the protein structure above.</li>
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+ <li>Click the 'Share on X' button below to open a pre-filled post with your protein seed-words and score.</li>
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+ <li>Be sure to attach the screenshot of your protein before your post!</li>
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  </ol>
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  </div>
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  """, unsafe_allow_html=True)
 
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  st.markdown(f"[Share Results]({tweet_url})")
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  st.markdown("""
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+ ## What to do next:
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+
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+ If you find an interesting protein from the sequence folding, you can explore it even further:
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+
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+ 1. Click the 'analyze protein' button to use the [BLAST](https://blast.ncbi.nlm.nih.gov/Blast.cgi?PROGRAM=blastp&PAGE_TYPE=BlastSearch&LINK_LOC=blasthome) tool to see what you protein might do. The sequence identity will show how close of a match your protein is the the best match. *Note this can take several minutes
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+ 2. Download your protein data and visit the [Protein Data Bank (PDB)](https://www.rcsb.org/) to match your protein structure against known protein structures.
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+ 3. If you think you've discovered a new and useful protein message us!
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  **Remember, this folding is based on randomly generated sequences. Interpret the results with caution.
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+ Enjoy exploring the world of protein sequences!
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  """)
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