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Target Identification

AI helps in finding new biological targets for drugs.

High-Throughput Data Analysis
Pattern Recognition and Predictive Power
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AI-powered Drug Discovery and Design

AI screens large libraries of compounds for potential therapeutic effects.

Extensive Therapeutic Areas
Predictive Analytics
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Drug Repositioning and Repurposing

Finding new uses for existing drugs with AI analysis and Repurposing existing drugs for new therapeutic indications using AI.

AI techniques can leverage insights from multilevel biological systems and drug development pipelines to create more robust models.

AI algorithms significantly expedite drug repositioning and development by integrating biological knowledge, such as the human interactome, organelles, tissues, and organs.

Reduced Development Time
Improved Patient Accessibility
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AI-enhanced API Discovery / AI-API

AI-enhanced discovery of Active Pharmaceutical Ingredients (APIs) and APIs designed.

Refine the Design of Existing APIs
De Novo Design
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AI-driven DNA-encoded Compound Library Technology

DNA-encoded compound library technology combined with AI significantly accelerates drug discovery.

Rapid screening of candidate drugs
DELs construction and data analysis
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AI Participates in Protein Design and Protein Crystal Structure Analysis

Advanced AI tools are used to design proteins with specific functions de novo and speed up protein optimization with deep learning models.

Protein design and detection
Protein variant optimization
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AI Participates in Protein Design and Protein Crystal Structure Analysis
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AI Synthetic Biology and Gene Circuit Design

With its powerful algorithms and models, AI enables faster and more accurate biosystems engineering design in synthetic biology and gene circuit design.

Highly automated and intelligent
Accurate prediction and simulation
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