top of page

Boost Recombinant Protein Yield
with AI DNA Design

Transition from trial-and-error workflows to data-driven construct engineering.

Download our Technology Overview

Our Technology

MNDL Bio’s gene expression optimization platform is built on advanced computational models that integrate multiple factors to maximize recombinant protein yield. Unlike traditional codon optimization methods, which rely solely on frequency tables, our AI-driven approach accounts for complex biological interactions that impact gene expression and co-optimizes coding and non-coding regions. Our platform, based on 15 years of research, incorporates: ■ AI-Driven codon optimization: Leveraging deep learning to identify optimal codon usage patterns beyond simplistic frequency-based methods, improving translational efficiency. ■ Preservation of hidden genetic information: Using machine learning to construct gene sequences that retain essential hidden information in the host genome, preventing loss of regulatory signals. ■ Vector stability modeling: Balancing recombinant protein expression with cellular fitness to enhance plasmid stability and maintain high yields. ■ Translation dynamics optimization: Modeling non-uniform ribosomal translation rates to prevent misfolding and enhance protein expression.

Advanced computational models

MNDL uses complex AI-generated algorithms and models that are customized to each host organ to improve gene performance

Comprehensive gene optimization

Optimizing open reading frame, regulatory sequences (promoters, UTRs), and vectors

Proven technology

Success record of dozens of recombinant proteins in multiple hosts

national-cancer-institute.webp

MNDL BIO’S SOLUTION:

TRANSITION FROM TRIAL-AND-ERROR
TO DATA-DRIVEN ENGINEERING

WE PROVIDE END-TO-
END OPTIMIZED DNA
FOR BETTER PROTEIN EXPRESSION

Engineering every stage of the gene expression process, tailored to any expression system

Combined biophysical
algorithms and LLMs

50-90%

lower cost of final product

20-33%

faster time to market

up to 20x

protein production yield

20

accomplished projects

Selected Case Studies

Solving Expression Bottlenecks with Smart Genetic Design

Human G6PD in Escherichia coli

Picture1.png

As part of an internal benchmarking initiative, MNDL Bio undertook the challenge of engineering high-yield expression of human glucose-6-phosphate dehydrogenase (hG6PD) in Escherichia coli BL21(DE3) — a notoriously difficult task due to the enzyme’s complex folding requirements and susceptibility to truncation and misfolding in prokaryotic systems. G6PD is a cytoplasmic enzyme central to the pentose phosphate pathway, catalyzing the production of NADPH — a cofactor essential for maintaining redox balance and driving biosynthetic reactions. Its commercial relevance spans enzyme replacement therapies, NADPH-coupled diagnostics, and biomanufacturing, yet scalable recombinant production remains a longstanding challenge. To address this, MNDL applied its proprietary sequence optimization platform, iteratively testing multiple algorithmic strategies — including advanced codon usage modeling, untranslated region (UTR) engineering, and non-coding sequence adaptations. Several optimized variants were evaluated, leading to improved expression of the full-length enzyme across most designs. This effort not only demonstrates the robustness and flexibility of MNDL's AI-powered design pipeline but also reinforces its applicability to complex, clinically relevant targets with high commercial impact.

Engineered Enzyme for Industrial Biotech

Picture2.png

For a commercial client in the industrial biotechnology sector, MNDL Bio was tasked with improving the expression of a custom-engineered enzyme in Escherichia coli, which had previously failed to meet target yield thresholds. Leveraging its advanced sequence optimization platform, MNDL designed and screened 10 construct variants using a combination of predictive modeling, codon and non-coding region optimization, and host-specific design principles. One of the variants achieved a ~2.5-fold increase in expression relative to the original construct. This successful optimization highlights MNDL’s ability to overcome a major bottleneck in biomanufacturing: the low expression of engineered or non-native enzymes in microbial systems. Enzymes are at the heart of critical industrial applications — spanning biopharmaceuticals, diagnostics, food and feed processing, textiles, and sustainable biofuels — with the global enzyme market projected to surpass $20 billion by 2028. In these contexts, even modest gains in enzyme titer can dramatically enhance process efficiency, cost-effectiveness, and scalability. MNDL’s platform enables clients to meet these demands by delivering expression-optimized constructs tailored to specific production constraints, ultimately accelerating innovation across the synthetic biology value chain.

15 kDa Protein in Cell-Free System

Picture3.png

In a project for a commercial client operating in a highly cost-sensitive sector, MNDL Bio was tasked with enabling scalable expression of a ~15 kDa recombinant protein using an E. coli-based cell-free expression system. The native (wild-type) sequence yielded negligible protein levels, making it unsuitable for production-scale workflows. To address this, MNDL deployed a suite of its proprietary optimization algorithms — combining machine learning, deep learning, and biophysical models — to generate and test multiple synthetic variants of the gene. The results were striking: several of MNDL’s designed sequences achieved a ~9.5- to 15-fold increase in protein expression compared to the original sequence. This dramatic improvement underscores the platform’s ability to overcome fundamental expression challenges in cell-free systems — an increasingly attractive alternative to live-cell expression for rapid prototyping, diagnostics, and precision biomanufacturing. In industries where protein cost directly affects product viability, such expression gains can meaningfully shift the economics of production. MNDL’s ability to deliver such performance without compromising sequence fidelity or function demonstrates its critical value in accelerating the development of high-efficiency bioproducts in next-generation manufacturing systems.

Research Powering Our Solutions

Read about our peer-reviewed publications, science and magic.

Our Sectors

MNDL can assist with  medical, agriculture, pharmaceutical, clothing, etc.

Medical

MNDL can assist with  medical, agriculture, pharmaceutical, clothing, etc.

Pharmaceutical

MNDL can assist with  medical, agriculture, pharmaceutical, clothing, etc.

Agriculture

MNDL can assist with  medical, agriculture, pharmaceutical, clothing, etc.

Clothing

MNDL can assist with  medical, agriculture, pharmaceutical, clothing, etc.

 

Team

Dedication. Expertise. Passion.

Our team combines scientific expertise and business acumen. With years of experience in small and large companies, and broad academic backgrounds, we're dedicated to delivering innovative solutions for gene expression optimization.

From the News...

2025 VC Survey

5 leading AI trends and startups to watch in 2025, From cybersecurity to biotech, local ventures excel in applicative and vertical AI, driving global industry transformation. 

Read more in CTECH by Elihay Vidal, 26.01.25

testimonial-bg.jpg

From our partners and friends...

TESTIMONIAL

Partnering with Prof. Tuller's expertise proved invaluable. His algorithms significantly enhanced our design of gene expression in microalgae, enabling us to achieve a substantial increase in biofuel production - a critical benchmark for our success.

Prof. Iftach Yacoby

Molecular Biology Ecology of Plants (Tel Aviv University)

1434878930_iftach-yacoby.webp

Our Investors & Partners

EBV Logo
mass challenge
hello tomorrow
CPT Capital
nvidia-inception-program-badge-rgb-for-screen.png
dan launchpad
03FAN_EIT_EU_Logo_Square_Colour.png
tel aviv univeristy
Israel Innovation Authority
mndl bio

Copyright 2024 © MNDL Bio Ltd. | All rights reserved.

bottom of page