Before the First,
There’s Zeroth.

PROTEIN AI & PRECISE EXPERIMENTAL LABS

ProPEL

From protein design to functional evidence

ZerothBIO is building an autonomous protein engineering system. ProPEL connects protein design, cell-free production, functional measurement and learning to create experimentally measured functional protein data.

Explore ProPEL View the CFPS Kit

DESIGNProtein AI Design
BUILDDNA Library + CFPS
TESTFunctional Measurement
LEARNStructured Functional Data

Protein AI DesignTestable candidate hypotheses
Cell-Free Protein SynthesisNo cell-culture step for expression
Measured Functional DataValue + condition + evidence
Research CollaborationIndustry and academic partners

C1110·C1120 100 rxn / 200 rxn ZerothBIO Cell-Free Protein Synthesis Kit · current commercial pack sizes PRODUCT FACT

50µL per reaction Standard reaction basis · 2x Master Mix 25 µL + E. coli Extract 15 µL + template/water 10 µL PRODUCT FACT

2–3h expression reaction 30 °C / 3 h or 37 °C / 2 h · T7 batch format · plasmid or PCR template PRODUCT FACT

256 variants built + evaluated in <24 h PETase · design-to-assay · 100% liquid-phase · one standard liquid handler · internally measured MEASUREDE2 · internal PoC

WHY MEASURED FUNCTION

Protein AI can propose candidates. Function still has to be measured.

Development decisions depend on how a protein actually behaves under defined conditions. ZerothBIO treats every experiment as a structured data point that informs the next design.

Measured

Experimental results are recorded with the conditions needed to interpret them.

Functional

The record captures observed differences in protein function, not sequence alone.

Repeatable

A defined workflow loop lets the same experiment be run again under the same logic.

Learnable

Structured results return to the next design decision instead of ending in a report.

Sequence and structure onlySequence + condition + measured function

ProPEL · PROTEIN AI & PRECISE EXPERIMENTAL LABS

One Design–Build–Test–Learn loop

ProPEL connects protein design, experimental execution, functional measurement and learning. Candidates proposed by protein AI are closed by experimental results, and those results become the input to the next design.

01

DESIGN

Protein AI proposes the candidate and variant space with a testable hypothesis.

→ candidate set / hypothesis
02

BUILD

Combinatorial DNA libraries and cell-free protein synthesis turn candidates into proteins, without cell-culture dependency.

→ variant library / expressed protein
03

TEST

Function, expression, binding or yield assays measure each variant under defined conditions.

→ measured functional data
04

LEARN

Results are structured and returned to the next candidate and experiment design.

→ structured dataset / next design

Every experiment becomes a better starting point — the next Zeroth.

“Autonomous” describes the architecture and operating concept of ProPEL. It does not imply fully unattended operation or guaranteed optimization; scientific review and acceptance criteria remain controlled decisions.

MEASURED FUNCTIONAL PROTEIN DATA

Sequence alone is not enough

Each ProPEL data point links a variant to the condition it was tested under, the function it showed, the evidence behind it and the design decision it informs.

One ProPEL data recordRECORD SCHEMA

LAYER	FIELD	RECORDED AS
VariantWhich protein, which mutation	variant_id	Unique identifier per candidate
VariantWhich protein, which mutation	sequence	Parent sequence + mutation list
ConditionHow it was expressed and controlled	template	Plasmid DNA or PCR product
	expression	CFPS · 50 µL · 30 °C / 3 h or 37 °C / 2 h
	control	No-template control (NTC)
FunctionWhat it did, and how that was read	readout	SDS-PAGE · Western blot · activity assay
FunctionWhat it did, and how that was read	value	Number + unit + assay method
EvidenceWho measured it, and how reliable it is	evidence_level	E0–E5, with measuring party
EvidenceWho measured it, and how reliable it is	run_ref	Run, lot and method reference
Learning linkHow the result changes the next design	next_action	Select · re-test · deprioritize → next design round

Expression fields follow the approved CFPS Kit standard reaction (ZBIO-MKT-CFPS-PDS-001 v1.1). Assay choice depends on the target protein.

Protein Design
Variant Library
Cell-Free Expression
Functional Measurement
Structured Data
Learning
Better Protein Design

TECHNOLOGY

From hypothesis to functional evidence

Four connected layers convert candidate space into measured learning. Platform architecture is described separately from product specifications, which remain governed by approved product documents.

DESIGN LAYER

Protein Design

Defines the protein hypothesis and search space for each round.

BUILD LAYER

Combinatorial DNA Library

Generates a practical variant set from modular DNA fragments.

BUILD LAYER

Cell-Free Protein Synthesis

Expresses variants directly from DNA templates, separated from cell culture.

TEST + LEARN LAYER

Functional Measurement & Learning

Generates readouts under defined methods and structures them for ranking and next-round design.

ZerothBIO CFPS Kit · CURRENT COMMERCIAL

From DNA template to recombinant protein in 2–3 hours

FOR RESEARCH USE ONLY

Rapid in vitro transcription and translation in a T7 batch format. Compatible with circular plasmid DNA or linear PCR products, with no transformation or cell culture step in the expression reaction.

01Prepare templateT7 promoter · RBS · T7 terminator
02Thaw on ice2x Master Mix + E. coli Extract, immediately before use
03Assemble50 µL reaction on ice
04Incubate30 °C · 3 h or 37 °C · 2 h
05AnalyzeSDS-PAGE · Western blot or activity assay

SPECIFICATIONS · 50 µL STANDARD REACTION
Reaction basis	50 µL / reaction
Expression system	T7 · Batch
Reaction condition	30 °C for 3 h or 37 °C for 2 h
Template	Plasmid DNA or PCR product
Target protein size	≤150 kDa
Protein yield	0.2–2.0 mg/mL*
Storage	−70 °C to −20 °C
Purification	Not included

* Protein yield is stated on a 50 µL basis and is target-dependent. The stated range is not an expected value for every construct. Source: ZBIO-MKT-CFPS-PDS-001 v1.1.

Cat. No. C1110₩100,000 / mL

Cell-Free Protein Synthesis Kit · 100 rxn

₩500,000

2x Master Mix: 5 × 500 µL
E. coli Extract: 5 × 300 µL

Cat. No. C1120₩80,000 / mL

Cell-Free Protein Synthesis Kit · 200 rxn

₩800,000

2x Master Mix: 5 × 1,000 µL
E. coli Extract: 5 × 600 µL

Bulk supply (100 mL and above): ₩50,000 / mL. Per-mL prices refer to total reaction volume. Request a quote

CFPS DNA Design

Create synthesis and cloning/PCR design drafts from your ORF. Korean interface.

Design DNA (KR)

MYGENLAB CAMPUS · BY ZEROTHBIO

See biology.
Measure evidence.
Build understanding.

Cell-Free Synthetic Biology Education Platform

A faculty-oriented laboratory platform that brings cell-free gene expression, measurement and evidence-based reasoning into undergraduate molecular biology, genetics and biochemistry courses.

Visit MyGenLab Request a Faculty Pilot

MyGenLab educational gene expression kit concept showing Starter, Refill and Advanced packages with tubes, pipettes, plates and teaching guides — MyGenLab product concept visual. Final configuration and included components may vary by program and institution.

INTRODUCTION FILM · 01:40

Discover MyGenLab Campus

See how cell-free gene expression moves from molecular concepts to observation, measurement and evidence-based learning.

Watch on YouTube

01DNAStart with a defined genetic template
02ActivateRun cell-free gene expression
03ObserveSee the experimental signal
04MeasureRecord comparable data
05CompareEvaluate control and experiment
06ReasonInterpret evidence against the hypothesis

Built for existing courses

Designed as a focused laboratory module for undergraduate teaching rather than a stand-alone demonstration.

Control-to-data learning

Students compare control and experimental conditions, document measurements and interpret the result.

Evidence-based reasoning

The experiment concludes with claim, evidence and reasoning—not observation alone.

MyGenLab Campus is an educational application of ZerothBIO’s cell-free technology. Product configuration, curriculum and pilot scope are confirmed for each institution.

COLLABORATION

Work with ProPEL

For industry and research partners, we scope collaborations around the experiment and the data it should produce.

Protein Engineering

Discuss candidate generation, experimental evaluation and iterative protein engineering workflows.

Discuss a project

Functional Data Generation

Design experiments that produce measured protein-function data under defined conditions.

Discuss a dataset

Platform Collaboration

Explore how ProPEL workflows connect design, experimentation, measurement and learning.

Discuss the platform

TECHNICAL DOCUMENTS

Controlled documents

Every download shows its document number and version, so you always know which revision you are working from. Consult the current MSDS before handling.

CFPS DNA Design ToolDNA Design · v1.5.0WEB · KROpen tool
Commercial Product Sheet · C1110 / C1120ZBIO-MKT-CFPS-PDS-001 · v1.1PDF · ENDownload
CFPS Kit User ManualZBIO-PRD-CFPS-MANUAL-001 · v1.1.2PDFDownload
MSDS · 2x Master MixZBIO-PRD-CFPS-MSDS-001 · v1.0PDFDownload
MSDS · E. coli ExtractZBIO-PRD-CFPS-MSDS-002 · v1.0PDFDownload

ABOUT ZerothBIO

Making protein function learnable

ZerothBIO builds experimentally measured functional protein data for protein AI. Through ProPEL, we connect protein design, experimental execution, functional measurement and learning in an autonomous protein engineering architecture.

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COMPANY: (주)제로스바이오 · ZerothBIO Inc.
EMAIL: zerothbio@gmail.com
PHONE: 070-8064-1061
LAB: Ste 1208, Building A, 13, Sinwon-ro 250beon-gil, Yeongtong-gu, Suwon-si, Gyeonggi-do, Republic of Korea