Stage 1
Document ProcessingPDF extraction, text parsing, metadata extraction (10-30s)
Stage 2
Molecule ExtractionAI identifies proteins, genes, compounds, drugs via NER (30-60s)
Maps biological pathways using KEGG, Reactome databases (1-2 min)
Extracts main conclusions, methods, statistical results (1-2 min)
AI identifies unstudied areas and research opportunities (1-2 min)
Stage 6
Hypothesis GenerationAI generates 5-7 testable hypotheses from extracted data (2-3 min)
Stage 7
AlphaFold Structure3D protein structure prediction using AI (3-5 min, optional)
Protein-ligand binding prediction and analysis (2-4 min, optional)
Stage 9
Protocol GenerationWet lab experimental protocols with detailed procedures (30-60s, optional)
Stage 10
Results PredictionML-powered experimental outcome prediction with statistics (20-40s, optional)
Stage 11
Paper PublicationPublication-ready manuscript with DOI and citations (2-3 min)