Synthesis and machine learning driven techniques solutions for metabolic engineering industry - Medical / Health Care
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.
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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.
Pathway optimization
TeselaGen’s platform supports artificial intelligence models which allows you to extract useful information to make optimization and redesign decisions for your genetic elements and pathways autonomously.