Update app.py

app.py

@@ -10,8 +10,8 @@ import urllib3
 urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
 
 st.set_page_config(layout='wide')
-st.sidebar.title('🎈 ESMFold Protein Structure Predictor')
-st.sidebar.write('[*ESMFold*](https://esmatlas.com/about) is an end-to-end single sequence protein structure predictor based on the ESM-2 language model. For more information, read the [research article](https://www.biorxiv.org/content/10.1101/2022.07.20.500902v2) and the [news article](https://www.nature.com/articles/d41586-022-03539-1) published in *Nature*.')
+st.sidebar.title('🔮 ESMFold Protein Structure Predictor')
+st.sidebar.write('[*ESMFold*](https://esmatlas.com/about) is an end-to-end single sequence protein structure predictor based on the ESM-2 language model.  Enter your seed words to generate and predict a protein sequence')
 
 # Function to generate protein sequence from words
 def generate_sequence_from_words(words, length):
@@ -52,7 +52,7 @@ def update(sequence, word1, word2, word3, sequence_length):
         b_value = round(struct.b_factor.mean(), 2)
         
         # Display protein structure
-        st.subheader(f'Predicted protein structure using seed: {word1}, {word2}, and {word3} + length ({sequence_length})')
+        st.subheader(f'Predicted protein structure using seed: {word1}, {word2}, and {word3} + length {sequence_length}')
         render_mol(pdb_string)
         
         # plDDT value is stored in the B-factor field
@@ -85,7 +85,7 @@ if st.sidebar.button('Generate and Predict'):
     if word1 and word2 and word3:
         sequence = generate_sequence_from_words([word1, word2, word3], sequence_length)
         st.sidebar.text_area("Generated Sequence", sequence, height=100)
-        st.sidebar.info("Note: The same words and length will always produce the same sequence.")
+        st.sidebar.info("Note: The same words and sequence length will always produce the same sequence.")
         
         with st.spinner("Predicting protein structure... This may take a few minutes."):
             update(sequence, word1, word2, word3, sequence_length)
@@ -95,10 +95,11 @@ if st.sidebar.button('Generate and Predict'):
 # Information display
 st.sidebar.markdown("""
 ## What to do next:
-1. Enter three words and a sequence length.
-2. Click 'Generate and Predict' to generate the sequence, visualize the protein, and get its plDDT score.
-3. Explore the 3D structure and download the PDB file if desired.
-4. Experiment with different words or sequence lengths to see how they affect the predicted structure.
-
-Remember, these predictions are based on AI models and should be interpreted with caution.
+If you find interesting results from the sequence folding, you can explore further:
+1. Learn more about protein structures and sequences.
+2. Visit the [Protein Data Bank (PDB)](https://www.rcsb.org/) for known protein structures.
+3. Compare your folded structure with known functional proteins by downloading your results.
+4. Read about similar proteins to gain insights into potential functions.
+Remember, this folding is based on randomly generated sequences. Interpret the results with caution.
+Enjoy exploring the world of protein sequences!
 """)