AI-ZYMES

AI-ZYMES accelerates nanozyme research and application through a comprehensive database integrating artificial intelligence for kinetic prediction, activity identification, and synthesis assistance.

Key Features:

• Standardized Data Curation: Resolves inconsistencies in catalytic metrics including Km, Vmax, morphologies, and dispersion systems to enable reliable cross-study comparisons.
• Dual AI Framework: A gradient-boosting regressor predicts kinetic constants (Km, Vmax, Kcat) with R2 up to 0.85, and an AdaBoost classifier identifies enzyme-mimicking activities based solely on nanozyme names.
• ChatGPT-based Synthesis Assistant: Performs literature extraction with 67.55% accuracy and synthesis pathway generation via semantic analysis with 90% accuracy.

Scientific Applications:

• Antimicrobial Therapy: Supports development of nanozyme-based therapeutic applications.
• Biosensing: Facilitates design of nanozyme-based detection systems.
• Environmental Remediation: Enables application of nanozymes for pollutant degradation and environmental cleanup.

Methodology:

The platform employs a gradient-boosting regressor for kinetic constant prediction and an AdaBoost classifier for enzyme-mimicking activity identification based on nanozyme names.