IFI-M · AK Flux-Balanced Series

Specimen SS-F-M2-07332 // MULTI-AXIS · IFI-M

AK Flux-Balanced Series I-IV-C

Vitis vinifera

Grape

Tier IAK Flux-Balanced Series

Target Trait

1.75×

fold-change

Astringency+Kokumi flux-balanced output

Technical Specifications

SKU

SS-F-M2-07332

Genomic Edits

7

GC Content

44.6%

Construct Length

3,935 bp

Promoter System

T7/SP6 cell-free

Expression System

In-vitro cell-free

Host Strain

Cell-free

Receptor Target

Polyphenol-astringency axis + CaSR

IFI Score

175

Pathway Edits

  • Polyphenol-astringency axis pathway primary gene cluster overexpression for astringency axis activation
  • CaSR pathway primary gene cluster overexpression for kokumi axis activation
  • Bidirectional promoter system for synchronized A+K dual-axis co-expression
  • Metabolic flux partitioning between IFI-A and IFI-K pathway branches via carbon flow optimization
  • Transcription factor co-binding site engineering for Astringency-Kokumi combinatorial gene regulation
  • Cross-pathway feedback inhibition circuit removal for A+K simultaneous accumulation
  • Cofactor balance optimization for A+K dual-pathway operation

Key Interventions

Dual-receptor co-activation via synchronized Polyphenol-astringency axis and CaSR pathway engineeringMetabolic flux partitioning strategy enabling simultaneous astringency and kokumi accumulation without competing pathway suppressionFlux-balanced gene dosing for AK multi-axis integrationCell-free co-translation of multi-axis enzyme sets for in-vitro biochemical validation

IFI Subscale Profile

IFI Profile

IFI-S
—
IFI-U
—
IFI-B
—
IFI-K
—
IFI-C
—
IFI-P
—
IFI-A
—
IFI-F
—

Use Case

Tier I AK dual-axis flux-balanced platform for food ingredient applications requiring verified combined astringency+kokumi sensory character. Suitable for multi-modal flavor architecture, premium ingredient certification, and receptor-confirmed IFI multi-axis profiling.

License

$449 · Tier I License

Includes full construct sequence, CRISPR guide designs, pathway edit specifications, flux balance analysis, and IFI validation data.

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