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SECRETORY PATHWAY OPTIMIZATION

ENGINEERING SECRETION FOR BETTER OUTCOMES IN BIOLOGICS 
DEVELOPMENT

High throughput protein engineering technology for enhancing production yield and quality of your end product.

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News

PRESS RELEASE

Stay informed: Announcements, key milestones, and what we are working on next.

July 16, 2026

Circio and Avenue Biosciences jointly announce research collaboration to enhance protein secretion for gene therapy

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Circio and Avenue Biosciences jointly announce research collaboration to enhance protein secretion for gene therapy

July 2, 2026

Avenue Biosciences Expands Board of Directors with Appointment of Dr. Jens Vogel

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Avenue Biosciences Expands Board of Directors with Appointment of Dr. Jens Vogel

January 12, 2026

Avenue Biosciences raises $5.7M to scale the first platform modulating the secretory pathway for enhanced therapeutic protein manufacturing

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Avenue Biosciences raises $5.7M to scale the first platform modulating the secretory pathway for enhanced therapeutic protein manufacturing

Technology

ENGINEERING THE SECRETORY PATHWAY TO MAXIMIZE YIELD AND QUALITY
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Signal peptide optimization significantly impacts protein biogenesis.

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Each protein has specific signal peptide requirements for maximized performance.

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Maintain high quality and biosimilarity for your target.

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Platform

A powerful combination of machine learning and wet lab chemistry

Technology
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Library

Large SP libraries tailored specifically for your target of interest.

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Display

Our technology measures protein secretion efficiency at individual cell level.

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DNA Analysis

Identifying SP-protein combinations that drive the highest secretory output.

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Validation

Top candidates characterized for enhanced expression and quality.

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Read by machines

WET-LAB CHEMISTRY + MACHINE LEARNING

A library powered with synthetic signal peptide designs. Each cycle trains our model.

We build proprietary data sets on which signal peptides drive expression for different proteins – a relationship that, for the most part, exists nowhere in the public literature. High-throughput data fuels a self-learning machine learning engine and in silico engineering tools.

avenue · rank_signal_peptides
MKWVTFISLLFLFRRDAHKS
signal peptide  ·  mature chain
SP-44710.96
SP-08220.91
SP-31900.88
SP-10430.71
ranked for your construct  ·  6,000+ screened

APPLICATION POSSIBILITIES

ANTIBODIES

ANTIBODIES

FUSION PROTEINS

FUSION PROTEINS

CELL & GENE THERAPIES

CELL & GENE THERAPIES

mRNA THERAPIES

mRNA THERAPIES

ENZYMES

ENZYMES

AI-DESIGNED PROTEINS

AI-DESIGNED PROTEINS
Machine learning transforming biosciences

The Technology

A BLEND OF SYNTHETIC AND ORGANIC BIOLOGY

Our platform is a unique combination of high-throughput chemistry and synthetic biology, powered by machine learning and AI algorithms.

It is the most powerful solution to engineering N-terminal signal peptides: An element significantly underutilized in protein biologics.

Enhance any protein production system: From protein biologics and biosimilars to any mammalian protein-based biotechnology tools.

Benefits

FEWER BOTTLENECKS, MORE BREAKTHROUGHS
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Increase the success of therapeutic and biotechnology development with precise, scalable protein engineering

laboratory professional with microscope cell culture

CHALLENGES INTO VICTORIES

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Reduce time-to-market and production costs in pre-clinical therapeutic development

Preclinical development process using latest technology

UNLOCK BREAKTHROUGHS FASTER

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Gain a critical advantage and unique IP with novel molecular components

Unique naturally occurring and synthetic elements

OUTPACE THE COMPETITION

This novel method has the capacity for analyzing thousands of protein expression elements at once to find a handful of promising candidates. The resulting unique molecular combinations can provide substantial value that is worth millions to therapeutic developers tapping into countless opportunities in protein biologics drug discovery.

Ville Paavilainen
Research Director, University of Helsinki
A woman holding a child on the beach.

This novel method has the capacity for analyzing thousands of protein expression elements at once to find a handful of promising candidates. The resulting unique molecular combinations can provide substantial value that is worth millions to therapeutic developers tapping into countless opportunities in protein biologics drug discovery.

Ville Paavilainen
Research Director, University of Helsinki