Upload app.py
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app.py
CHANGED
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@@ -36,7 +36,7 @@ class PDBSearchAssistant:
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Extract specific search parameters from the protein-related query:
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1. Protein name or type
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2. Resolution cutoff (in Å)
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3.
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4. Specific PDB ID
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5. Experimental method (X-RAY, EM, NMR)
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6. Organism/Species information
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@@ -58,6 +58,46 @@ class PDBSearchAssistant:
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PDB_ID: none
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Method: X-RAY
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Now analyze:
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Query: {query}
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"""
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@@ -380,52 +420,65 @@ class PDBSearchAssistant:
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print(f"Error in direct API call for PDB ID {pdb_id}: {str(e)}")
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return []
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def
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"""
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if
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return {
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"type": "sequence",
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"
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}
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return {
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"type": "structure",
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"query": query
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}
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def process_query(self, query):
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"""Process query and return appropriate results"""
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query_info = self.analyze_query_type(query)
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if query_info["type"] == "sequence":
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return {
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"type": "sequence",
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"results": self.get_sequences_by_pdb_id(query_info["pdb_id"])
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}
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else:
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return {
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"type": "structure",
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"results": self.search_pdb(
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}
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def create_interactive_table(df):
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if df.empty:
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@@ -610,8 +663,7 @@ app_ui = ui.page_fluid(
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ui.tags.ul(
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ui.tags.li("Human hemoglobin C resolution better than 2.5Å"),
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ui.tags.li("Find structures containing sequence MNIFEMLRIDEGLRLKIYKDTEGYYTIGIGHLLTKSPSLNAAKSELDKAIGRNTNGVITKDEAEKLFNQDVDAAVRGILRNAKLKPVYDSLDAVRRAALINMVFQMGETGVAGFTNSLRMLQQKRWDEAAVNLAKSRWYNQTPNRAKRVITTFRTGTWDAYKNL"),
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ui.tags.li("Sequence of PDB ID 8ET6")
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ui.tags.li("Get sequence 7BZ5")
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)
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)
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)
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@@ -707,8 +759,6 @@ def server(input, output, session):
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@render.text
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def sequence_output():
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current_results = results_store.get()
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print(current_results["type"])
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print(current_results["results"])
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if current_results["type"] == "sequence":
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sequences = current_results["results"]
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if not sequences:
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Extract specific search parameters from the protein-related query:
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1. Protein name or type
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2. Resolution cutoff (in Å)
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3. Protein sequence information
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4. Specific PDB ID
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5. Experimental method (X-RAY, EM, NMR)
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6. Organism/Species information
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PDB_ID: none
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Method: X-RAY
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Query: "Get sequence of PDB ID 8ET6"
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Protein: none
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Organism: none
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Resolution: none
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Sequence: none
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PDB_ID: 8ET6
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Method: none
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Query: "Sequence of 7BZ5"
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Protein: none
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Organism: none
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Resolution: none
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Sequence: none
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PDB_ID: 7BZ5
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Method: none
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Query: "7BZ5"
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Protein: none
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Organism: none
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Resolution: none
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Sequence: none
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PDB_ID: 7BZ5
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Method: none
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Query: "6KAO"
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Protein: none
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Organism: none
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Resolution: none
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Sequence: none
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PDB_ID: 6KAO
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Method: none
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Query: "Find structures containing sequence MNIFEMLRIDEGLRLKIYKDTEGYYTIGIGHLLTKSPSLNAAKSELDKAIGRNTNGVITKDEAEKLFNQDVDAAVRGILRNAKLKPVYDSLDAVRRAALINMVFQMGETGVAGFTNSLRMLQQKRWDEAAVNLAKSRWYNQTPNRAKRVITTFRTGTWDAYKNL"
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Protein: none
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Organism: none
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Resolution: none
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Sequence: MNIFEMLRIDEGLRLKIYKDTEGYYTIGIGHLLTKSPSLNAAKSELDKAIGRNTNGVITKDEAEKLFNQDVDAAVRGILRNAKLKPVYDSLDAVRRAALINMVFQMGETGVAGFTNSLRMLQQKRWDEAAVNLAKSRWYNQTPNRAKRVITTFRTGTWDAYKNL
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PDB_ID: none
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Method: none
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Now analyze:
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Query: {query}
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"""
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print(f"Error in direct API call for PDB ID {pdb_id}: {str(e)}")
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return []
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def process_query(self, query):
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"""Process query and return results"""
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try:
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# Get search parameters from LLM
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formatted_prompt = self.prompt_template.format(query=query)
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response = self.pipe(formatted_prompt)[0]['generated_text']
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print("Generated parameters:", response)
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# Parse LLM response for PDB ID
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pdb_id = None
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for line in response.split('\n'):
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if 'PDB_ID:' in line:
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value = line.split('PDB_ID:')[1].strip()
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if value.lower() not in ['none', 'n/a']:
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pdb_id = value.upper()
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break
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# Check if query is asking for sequence
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sequence_keywords = ['sequence', 'seq']
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is_sequence_query = any(keyword in query.lower() for keyword in sequence_keywords)
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if is_sequence_query and pdb_id:
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# Get sequences for the PDB ID
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sequences = self.get_sequences_by_pdb_id(pdb_id)
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return {
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"type": "sequence",
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"results": sequences
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}
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# If not a sequence query or no PDB ID found, proceed with normal structure search
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return {
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"type": "structure",
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"results": self.search_pdb(query)
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}
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except Exception as e:
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print(f"Error processing query: {str(e)}")
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return {"type": "structure", "results": []}
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def pdbsummary(name):
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search_engine = ProteinSearchEngine()
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query = ProteinQuery(
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name,
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max_resolution= 5.0
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)
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results = search_engine.search(query)
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answer = ""
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for i, structure in enumerate(results, 1):
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answer += f"\n{i}. PDB ID : {structure.pdb_id}\n"
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answer += f"\nResolution : {structure.resolution:.2f} A \n"
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answer += f"Method : {structure.method}\n Title : {structure.title}\n"
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answer += f"Release Date : {structure.release_date}\n Sequence length: {len(structure.sequence)} aa\n"
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answer += f" Sequence:\n {structure.sequence}\n"
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return answer
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def create_interactive_table(df):
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if df.empty:
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ui.tags.ul(
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ui.tags.li("Human hemoglobin C resolution better than 2.5Å"),
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ui.tags.li("Find structures containing sequence MNIFEMLRIDEGLRLKIYKDTEGYYTIGIGHLLTKSPSLNAAKSELDKAIGRNTNGVITKDEAEKLFNQDVDAAVRGILRNAKLKPVYDSLDAVRRAALINMVFQMGETGVAGFTNSLRMLQQKRWDEAAVNLAKSRWYNQTPNRAKRVITTFRTGTWDAYKNL"),
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ui.tags.li("Sequence of PDB ID 8ET6")
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)
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)
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)
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@render.text
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def sequence_output():
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current_results = results_store.get()
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if current_results["type"] == "sequence":
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sequences = current_results["results"]
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if not sequences:
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