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Here we review and compare strain design methods and look back at the last 10 years of in silico strain design with constraint-based models.
Consequently, efficient and scalable algorithms are increasingly important for strain design.
Advancements in pathway and strain design have led to the development of tools to do so.
Future incorporation of kinetic considerations will further improve strain design algorithms.
The developed method introduces a new concept of objective function tilting for strain design.
Bilevel optimization problems have been formulated for optimal strain design via reaction removal, activation, and inhibition.
It should be noted that the critical compressive strain is a strain design for local buckling, not for other failure modes.
Due to cunning strain design and patterning, the layer stack bends up forming cantilevers or rolls up into nano- and microtubes.
Finally, we describe tools for genetic manipulation of microalgae and their potential for future rational algal strain design.
Most current approaches for optimal strain design problems apply a two-stage procedure to identify a growth-coupled strain.
In parallel, we used a strain design algorithm to identify strategies for further improvement in AKG production.
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