Application
Metabolic Engineering
Within a single and integrated environment, you can use all the power of our AI-driven platform to discover, screen, characterize and optimize enzymes, pathways and strains that can produce high-value and/or high-volume molecules.
Pathway Assembly
Design combinatorial pathways and plan how to assemble your constructs. A number of assembly reaction types, including Type IIs Endonuclease (Golden Gate, MoClo, etc.), Flanking Homology (Gibson, InFusion, etc.) are supported. You can also create Design Templates that can be used across designs.
Combinatorial Design
Design combinatorial pathways with different gene variants, upstream promoters, and downstream terminators for comprehensive pathway exploration.
Multiple Assembly Methods
Support for Type IIs Endonuclease (Golden Gate, MoClo) and Flanking Homology (Gibson, InFusion) reactions in a unified platform.
Reusable Templates
Create Design Templates that can be reused across multiple designs, ensuring consistency and accelerating your workflow.
Pathway Optimization
TeselaGen’s platform supports artificial intelligence models which allow you to extract useful information to make optimization and redesign decisions for your genetic elements and pathways autonomously.
AI-Driven Optimization
Use machine learning models to predict optimal pathway configurations and guide iterative design-build-test-learn cycles.
Autonomous Redesign
Extract useful information from experimental data to make optimization and redesign decisions for genetic elements and pathways.
Multi-Variable Screening
Screen and optimize multiple variables simultaneously, from promoter strength to codon usage, for maximum pathway performance.
Strain Engineering
Within a single and integrated environment, discover, screen, characterize and optimize enzymes, pathways and strains that can produce high-value and/or high-volume molecules.
Enzyme Discovery
Screen and characterize enzymes for desired catalytic activities, substrate specificity, and stability properties.
Strain Characterization
Comprehensively characterize engineered strains with linked genotype-phenotype data for informed decision making.
Production Optimization
Optimize strains for high-value or high-volume molecule production through systematic data-driven approaches.
Try Tesela AI for free
Design libraries, generate protocols, and optimize experiments with AI agents. No credit card required.