ex

README.txt

@@ -0,0 +1,43 @@
+# Protein Sequence Table
+
+A Gradio-based web application that reformats protein sequences based on UniProt IDs and displays detailed annotations in a structured format.
+
+## Features
+
+The application retrieves protein data from UniProt and presents the following information for each residue:
+- Position number in the sequence
+- Amino acid (single-letter code)
+- Secondary structure annotation
+- Associated Pfam domain
+- Disorder prediction
+- Participation in disulfide bridges
+- Post-translational modifications:
+  * Glycosylation sites
+  * Phosphorylation sites
+- Functional annotations:
+  * Active sites
+  * Metal binding sites
+  * DNA binding regions
+  * RNA binding regions
+  * Ligand binding sites
+  * Other modifications
+
+## Usage
+
+1. Launch the application
+2. Enter a valid UniProt ID (e.g., P53_HUMAN) in the input field
+3. Click "Submit" to generate the analysis
+4. Results will be displayed in a interactive data frame format
+
+## Requirements
+
+- Python 3.7+
+- Gradio
+- Pandas
+- Requests
+- XML parsing libraries
+
+## Note
+
+The application processes UniProt's XML format to extract annotations. 
+

app.py

@@ -244,8 +244,27 @@ def process_uniprot_id(uniprot_id):
 with gr.Blocks() as demo:
     with gr.Column():
         gr.Markdown("# Protein Sequence Analysis")
-        input_text = gr.Textbox(label="UniProt ID", placeholder="Enter UniProt ID (e.g., P53_HUMAN)")
+        input_text = gr.Textbox(
+            label="UniProt ID", 
+            placeholder="Enter UniProt ID (e.g., P53_HUMAN)",
+            value="",  # Empty default value
+        )
         submit_btn = gr.Button("Submit")
+        
+        # Add examples
+        gr.Examples(
+            examples=[
+                ["P06280"],  # Alpha-galactosidase A
+                ["P04637"],  # Tumor protein p53
+                ["P01308"],  # Insulin
+                ["Q8WZ42"],  # Titin
+                ["P04637"],  # p53 (alternate entry)
+                ["P0DTC2"],  # SARS-CoV-2 Spike protein
+            ],
+            inputs=input_text,
+            label="Example UniProt IDs"
+        )
+
         output_df = gr.Dataframe()
         
         submit_btn.click(