Digestive Cascade Engineering

Eat protein.
Liberate medicine.

Dietary proteins contain encrypted peptide sequences with potent biological activity — DPP-IV inhibitors that extend endogenous GLP-1 half-life, ACE inhibitors, opioid peptides. Normal digestion destroys most of them. We engineer the gastrointestinal kinetics to release them intact, at physiologically meaningful concentrations, from ordinary meals.

DPP-IV Inhibition (IC₅₀ 3–270 μM) Endogenous GLP-1 Potentiation ACE-Inhibitory Peptides Pepsin Selectivity pH Windows PepT1 / SLC15A1 Modulation Competitive Substrate Decoys Rheological Transit Control Collagen Prolyl Fragments β-Casomorphin Release Michaelis–Menten Optimization DPP-IV Inhibition (IC₅₀ 3–270 μM) Endogenous GLP-1 Potentiation ACE-Inhibitory Peptides Pepsin Selectivity pH Windows PepT1 / SLC15A1 Modulation Competitive Substrate Decoys Rheological Transit Control Collagen Prolyl Fragments β-Casomorphin Release Michaelis–Menten Optimization
Central Thesis

The proteolytic precision problem

A 200g serving of beef contains thousands of peptide bonds. Nested within these sequences are fragments — typically 2 to 7 residues — with validated biological activity: DPP-IV inhibitors, ACE inhibitors, opioid ligands, immunomodulatory peptides. The problem is not substrate availability. It is that uncontrolled digestion either fails to liberate these sequences or destroys them through over-hydrolysis.

Pepsin, trypsin, chymotrypsin each have preferred cleavage sites, but their combined action in vivo is governed by stochastic variables — pH drift, unpredictable transit, fluctuating enzyme concentrations, variable food matrix effects — making the yield of any specific bioactive sequence functionally random. Two identical meals can produce radically different peptide profiles.

We convert the gastrointestinal tract from a noisy biochemical environment into a controlled multi-stage reactor — tuning pH, residence time, enzyme exposure, viscosity, and transporter kinetics at each phase — so that the proteolytic cascade preferentially generates and preserves target peptide sequences at concentrations sufficient for physiological effect.

The problem is not supply. It is kinetic control.
Engineering Approach

Five control variables across four digestive phases

The gastric phase is the critical window. Pepsin (EC 3.4.23.1) is maximally active between pH 1.5 and 2.5 but exhibits marked substrate selectivity shifts within this range. At pH 2.0, pepsin cleaves promiscuously at hydrophobic residues — Phe, Trp, Tyr, Leu — generating a broad fragment distribution. At pH 2.8–3.2, cleavage becomes more selective: preferentially cutting at Phe–X and Leu–X bonds while sparing adjacent sequences that contain bioactive motifs.1 By buffering gastric pH into this narrower window, we bias pepsin toward cuts that liberate target fragments from parent proteins rather than fragmenting them further. The buffering itself uses food-grade systems — bicarbonate matrices, specific mineral-protein complexes — that dissolve predictably in the gastric environment.
Residence time determines yield. Gastric emptying of a solid meal follows approximate first-order kinetics with t½ of 60–120 minutes, but varies enormously with composition. We exploit this: viscous soluble fibers — specific β-glucan molecular weight fractions, medium-viscosity sodium alginates — slow gastric emptying dose-dependently. The formulation is tuned to hold the bolus in the pepsin-optimal pH window for 60–90 minutes. At controlled pH and controlled substrate presentation time, the Michaelis–Menten kinetics of pepsin become predictable.2 The enzyme's Km for specific peptide bonds shifts measurably with pH — a fact we exploit to create selectivity that doesn't exist under normal digestive conditions.
The duodenal challenge is fragment survival. When the partially hydrolyzed bolus enters the duodenum, it encounters trypsin (Lys↓, Arg↓), chymotrypsin (Phe↓, Tyr↓, Trp↓), elastase (Ala↓, Gly↓, Ser↓), and carboxypeptidases A and B. A 5-mer DPP-IV inhibitor freed from β-casein in the stomach can be cleaved into inactive di- or tripeptides within minutes by trypsin at an internal Lys or Arg residue. Our formulations include competitive substrate decoys: specific casein phosphopeptide fragments and engineered resistant protein fractions that preferentially occupy trypsin and chymotrypsin active sites, kinetically protecting the target-containing hydrolysate during duodenal transit.3 Bulk nutrient digestion proceeds at near-normal rates — the decoys slow pancreatic protease action on target sequences, not on all substrates.
Absorption is the final gate. Bioactive di- and tripeptides are absorbed via PepT1 (SLC15A1), a proton-coupled oligopeptide transporter on the jejunal brush border whose transport rate depends on the local H⁺ gradient maintained by NHE3 (SLC9A3). We modulate this gradient through controlled luminal acidification and ionic composition. But the deeper mechanism is local: DPP-IV (CD26) is expressed on the brush border membrane itself — the very surface through which peptides are absorbed. Food-derived DPP-IV inhibitory peptides that reach this surface create a zone of CD26 suppression exactly where endogenous GLP-1, secreted by L-cells in the distal ileum, would otherwise be degraded during its first pass through the intestinal mucosa.4
Protein matrix effects are the sixth variable. The food matrix — collagen fiber architecture in meat, casein micelle structure in dairy, disulfide bonding in whey — determines which peptide bonds are physically accessible to enzymes and in what order. Thermal denaturation during cooking unfolds proteins and exposes buried hydrophobic residues, but the degree of denaturation varies with cooking method, temperature, and time. A medium-rare steak presents a fundamentally different substrate to pepsin than a well-done one. We characterize the substrate matrix computationally and match formulation parameters to the protein source the patient is consuming — different formulation variants for beef, for dairy, for collagen-rich foods.5

Intervention Parameters

pHGastric buffering to 2.8–3.2 for pepsin Km shift at target bonds
Viscosityβ-glucan/alginate titration → 60–90 min gastric residence time
DecoysCompetitive substrates for trypsin/chymotrypsin in duodenum
H⁺ grad.Luminal acidification modulates PepT1 (SLC15A1) uptake kinetics
CD26Brush-border DPP-IV suppression protects endogenous GLP-1 at source
MatrixFormulation matched to protein source and preparation method
TargetsIPIVPPIPPLPVPQVAGTWYGPL-HypYPFPGPI
All modulating agents are GRAS / EU-approved food-grade ingredients. The intervention modulates digestion kinetics — it does not introduce exogenous bioactives.
Gastrointestinal Reactor Model — Phase Map Computational Model
Oral
pH 6.8 · 15–30 s
Salivary α-amylase (EC 3.2.1.1). Lingual lipase. Mechanical disruption exposes protein matrix surfaces.
→ Formulation coating controls hydration rate and gastric entry
Gastric
pH 2.8–3.2* · 60–90 min*
Pepsin (EC 3.4.23.1) at selective pH. HCl denatures tertiary structure exposing encrypted bonds. Gastric lipase.
→ pH buffering · Viscosity-controlled residence · *Engineered parameters
Duodenal
pH 6.0–6.5 · Bile salts
Trypsin (Lys↓ Arg↓), Chymotrypsin (Phe↓ Tyr↓ Trp↓), Elastase (Ala↓), Carboxypeptidases A/B.
→ Competitive substrate decoys protect 3–7mer target fragments
Jejunal
pH 6.5–7.0 · Brush border
Brush-border peptidases. PepT1 H⁺-coupled transport. DPP-IV (CD26) on apical membrane.
→ H⁺ gradient modulation · Local CD26 competitive inhibition
Systemic
Portal → Systemic
Absorbed inhibitors extend GLP-1 t½. ACE-i fragments reach pulmonary endothelium. Opioid peptides act on enteric μ-receptors.
→ Dual: ↑ GLP-1 secretion + ↑ GLP-1 survival
Kinetics

Pepsin Selectivity as f(pH)

Pepsin's catalytic efficiency (kcat/Km) for different peptide bonds shifts measurably between pH 2.0 and 3.2. At pH 2.0, the enzyme shows high activity across all hydrophobic residues. At pH 3.0, activity at Phe–X bonds remains high while activity at Leu–X and Trp–X bonds drops 2–4 fold — creating a selectivity window exploitable for targeted cleavage.

This selectivity is not a binary switch. It is a continuous function we model and optimize for each parent protein.
Transport

PepT1 Proton Coupling

PepT1 transports di/tripeptides via H⁺ symport. Transport rate is a function of the transapical proton gradient maintained by NHE3. Luminal pH reduction from 6.5 to 5.5 increases PepT1-mediated uptake of model dipeptides by 3–5 fold. We titrate luminal acidification to maximize target peptide absorption while maintaining mucosal integrity.

SLC15A1 · SLC9A3 coupling · transepithelial flux optimization
Inhibition

Brush-Border DPP-IV

CD26/DPP-IV on the jejunal brush border cleaves penultimate-proline peptides including GLP-1(7-36)amide → GLP-1(9-36). Food-derived competitive inhibitors (IPI, VAGTWY) reaching the brush border suppress this cleavage locally — protecting endogenous incretin hormones at their most vulnerable point before portal absorption.

Local inhibition at the mucosa may be more efficient than systemic DPP-IV inhibition (cf. sitagliptin).
Therapeutic Axes

Validated peptide targets with known mechanisms

We prioritize targets where food-derived bioactive peptides have published IC₅₀ data, validated mechanisms, and clear physiological endpoints. Each axis has a defined formulation strategy and evidence pathway.

Axis 01 — Primary

GLP-1 Potentiation via DPP-IV

The semaglutide approach floods the system with exogenous GLP-1 receptor agonist. Ours amplifies the endogenous pathway. Protein hydrolysates stimulate GLP-1 secretion from ileal L-cells via CaSR and PepT1-mediated nutrient sensing. Simultaneously, food-derived DPP-IV inhibitory peptides suppress the serine protease that cleaves GLP-1(7-36)amide to inactive GLP-1(9-36) — extending a native half-life of approximately 2 minutes. DPP-IV is expressed both at the intestinal brush border (CD26) and in soluble form in plasma. Food-derived inhibitors act at the gut level before GLP-1 even reaches systemic circulation.

Validated Sequences
IPI β-casein f(69-71) — DPP-IV IC₅₀ ~3.5 μM
WR ovotransferrin — DPP-IV IC₅₀ ~37.8 μM
VAGTWY β-Lg f(15-20) — DPP-IV IC₅₀ ~174 μM
LPVPQ β-casein f(185-189) — DPP-IV inhibitor
GPL-Hyp type I collagen — DPP-IV IC₅₀ ~264 μM
Axis 02 — Secondary

ACE Inhibition

The most validated class in bioactive peptide research. ACE (EC 3.4.15.1) converts angiotensin I to angiotensin II (vasoconstrictor) and degrades bradykinin (vasodilator). Food-derived ACE-i peptides — predominantly proline-rich C-terminal sequences — competitively bind the zinc-containing active site. Lactotripeptides VPP and IPP have been commercialized in Japan and Finland with meta-analyses showing systolic reductions of 3–4 mmHg. These sequences survive simulated GI digestion and are absorbed intact via PepT1. Collagen-derived Gly-Pro sequences add ACE-i activity from meat sources.

Validated Sequences
VPP κ-casein f(108-110) — ACE IC₅₀ ~9 μM · Clinical
IPP β-casein f(74-76) — ACE IC₅₀ ~5 μM · Clinical
FFVAP αs1-casein — ACE IC₅₀ ~6.7 μM
GPL type I collagen — ACE-i, proline-rich
Axis 03 — Exploratory

Opioid, Satiety & Beyond

β-Casomorphin-7 from A1 β-casein acts on μ-opioid receptors in the enteric nervous system, modulating gut motility, gastric emptying, and satiety — potentially synergistic with GLP-1 pathways. Gluten exorphins demonstrate similar enteric activity. Beyond opioid peptides: caseinophosphopeptides enhance mineral bioavailability, lactoferricin fragments show immunomodulatory properties, and secondary metabolites liberated during controlled proteolysis represent an expanding frontier we are actively characterizing.

Active Research
YPFPGPI β-casomorphin-7 — μ-opioid, enteric nervous system
Gluten exorphins A5, B4, B5 — wheat prolamin opioid fragments
Caseinophosphopeptides — Ca²⁺/Zn²⁺ chelation
Additional axes under characterization
Formulation Engineering

We design the formulations. You build the products.

Chlorian operates as a formulation engineering company. We design, model, and validate the co-administration systems that convert uncontrolled protein digestion into a precision bioactive liberation process. We do not manufacture end products — we engineer the formulations and the science behind them, then transfer the technology to partners who produce and distribute.

Our deliverable is a complete formulation architecture — validated from computational model through in vitro digestion to the data package required for regulatory positioning. Each formulation is matched to a specific protein source (beef, dairy, collagen, plant), a target bioactive axis (DPP-IV/GLP-1, ACE-i, opioid), and a defined use context. We specify every component: the pH buffering system, the viscosity modifier type and concentration, the competitive substrate composition, the ionic modulators for transporter optimization.

For partners developing regulated nutritional products — whether under EU FSMP frameworks, health claim regulations, or equivalent international pathways — we provide the scientific substantiation architecture: mechanistic rationale, in vitro evidence generated via INFOGEST 2.0 consensus protocol, Caco-2 transport data, and study designs for clinical validation. The regulatory strategy is part of the formulation — not an afterthought.

For nutraceutical and functional food companies seeking to incorporate bioactive peptide science into their product lines without building deep in-house GI biochemistry capability, we provide formulation design, optimization, and technology licensing.

01

Formulation Design

Complete co-administration system architecture matched to protein source and therapeutic axis. Computational modeling through validated specification.

02

In Vitro Validation

INFOGEST 2.0 static and semi-dynamic simulated digestion. LC-MS/MS peptidomics. Fractionated bioactivity assays (DPP-IV, ACE inhibition).

03

Transport & Absorption

Caco-2 monolayer studies. PepT1 transport kinetics. Brush-border DPP-IV activity. GLP-1 secretion models (GLUTag, NCI-H716).

04

Regulatory Architecture

Scientific substantiation packages for FSMP, novel food, or health claim positioning. Study design for clinical endpoints. Dossier preparation.

05

Technology Licensing

IP licensing for proprietary formulation methods, competitive substrate systems, and digestive engineering techniques. Portfolio-level or single-formulation agreements.

06

Scientific Advisory

Deep technical consulting on GI biochemistry, proteolytic cascade engineering, bioactive peptide development, and transporter pharmacology for biotech and pharma.

Formulation Development Pipeline
Phase 01
In Silico
Proteolytic cascade simulation. Target peptide mapping within parent proteins. Enzyme selectivity modeling as f(pH, [E], substrate competition).
BIOPEP-UWM · AHTPDB · molecular docking
Phase 02
In Vitro
INFOGEST 2.0 consensus protocol. LC-MS/MS peptidomic mapping at each digestive phase. DPP-IV and ACE inhibition assays on fractionated hydrolysates.
Brodkorb et al. (2019) Nature Protocols
Phase 03
Ex Vivo
Caco-2 monolayer transport. TEER integrity monitoring. PepT1 kinetics. Brush-border DPP-IV activity. GLP-1 secretion models.
Transepithelial flux quantification
Phase 04
Formulation Lock
Final specification. Manufacturing parameters. Stability data. Regulatory dossier architecture. Scale-up guidance for manufacturing partners.
Technology transfer documentation
Phase 05
Partner Clinical
Partner-led clinical studies measuring postprandial GLP-1, insulin, glucose, blood pressure. Study design and biomarker selection provided by Chlorian.
Endpoint design · biomarker protocol · data analysis support
Operations

Corporate structure

Core

Formulation Engineering

Design, modeling, and validation of co-administration systems that control digestive proteolysis for therapeutic peptide liberation. From computational model through INFOGEST-validated specification to technology transfer.

IP

Patent & Acquisition

Defensible IP around digestive engineering methods, competitive substrate systems, formulation compositions. Complementary portfolio acquisition across bioactive peptide and GI engineering space.

Advisory

Scientific Consulting

Deep technical advisory for biotech, pharma, and food technology. GI biochemistry, proteolytic modeling, regulatory strategy, bioactive peptide programs, transporter pharmacology.

Vehicle

Asset Operations

Corporate vehicle for strategic asset acquisition, venture formation, cross-sector technology transfer, and participation in decentralized science frameworks.

Epistemics

How we think

We treat biological systems as information-processing systems amenable to engineering. Every claim carries a confidence interval. We update on evidence, pre-register hypotheses, and expose full reasoning chains. The map-territory distinction is operational methodology.

Our formulation development borrows more from chemical engineering and computational biology than from traditional food science. We model the GI tract as a series of continuous stirred-tank reactors with variable parameters and simulate proteolytic cascades computationally before running INFOGEST protocols. The in silico model predicts which fragments survive each phase; the in vitro model validates. Only validated predictions advance to formulation lock.

We optimize for durable impact. We are not building a supplement brand. We are building the engineering layer between dietary protein intake and therapeutic peptide delivery — and licensing that capability to partners who build products.

Intellectual Coordinates

Bayesian reasoning · epistemic rigor · quantified uncertainty
Chemical engineering · the GI tract as a reactor cascade
Computational biology · in silico → in vitro → in vivo
INFOGEST 2.0 · standardized simulated digestion
First principles · mechanism over correlation
Open science · reproducibility · pre-registration
Decentralized Science

On-chain research coordination

Chlorian participates in the DeSci ecosystem — decentralized governance, token-aligned incentives, and on-chain IP frameworks to fund and coordinate research beyond traditional grant structures.

IP-NFTsToken IncentivesDAO GovernanceOpen DataQuadratic FundingBioDAO