Optimization of Recombinant Protein Expression

Transition from trial-and-error approaches to advanced data-driven strain engineering.

MNDL Bio's unique approach

Advanced computational models

Comprehensive, multi disciplinary, host-tailored approach to gene optimization

Comprehensive gene optimization

Optimizing ORF, regulatory sequences (promoters, UTRs), and vectors

Proven technology

Success record of dozens of recombinant proteins in multiple hosts

MNDL BIO’S SOLUTION:

Moving from trial-and-error methods to data-driven strain engineering

RECODING TARGET GENES AT SCALE: OPTIMIZATION OF GENE EXPRESSION

Advanced computational models spanning every stage of the gene expression process

Swift optimization of target gene expression using hundreds of AI and deep learning algorithms

50-

lower cost of final product

20-

faster time to market

up to

protein production yield

accomplished projects

I'm in, take me to the PLATFORM

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.

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Co-Founder and CEO

Steve Grun

10 years of experience as CEO of food and foodtech companies, 25 years of experience in marketing and sales. M. Sc. in Business Engineering.

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Co-Founder and CSO

Tamir Tuller, PhD

20 years of experience in computational and synthetic biology. 8 academic degrees in medical and computer sciences. Multiple awards.

Co-Founder and CBO

Eran Miller

15 years of experience managing multidisciplinary R&D projects globally, 10 years global business development in agri/food-tech. MBA and BSc. Electrical Engineering

Director of Product and Synthetic Biology

Guy Bushkin, PhD

12 years of experience in hands-on heterologous gene expression, low and high throughput protein expression using diverse hosts. PhD in Microbiology and Molecular Biology.

Lead Data Scientist

Maoz Gelbart, PhD

Expertise in data science and bioinformatics, led multiple complex bioinformatics initiatives. Hands-on roles in software development and big data algorithms. Ph.D. in Bioinformatics and Virus Evolution

Join the team!

Your Name...

Join our team of innovators revolutionizing the future of synthetic biology! If you're driven, creative, and eager to make a difference, we invite you to explore exciting career opportunities.

Send us your CV: hr@mndl.bio

Research Powering Our Solutions

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

Webinar - unlocking the potential of recombinant proteins

Recap of Our Webinar with Dr. Guy Bushkin, director of product and synthetic biology We had an incredible session with Guy Bushkin, as...

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Predictive Design for Stable Gene Constructs

Evolutionary Stability Optimizer (ESO) A Novel Approach to Identify and Avoid Mutational Hotspots in DNA Sequences While Maintaining High...

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Adapting Gene Expression to any Organism with ChimeraUGEM

ChimeraUGEM: unsupervised gene expression modeling in any given organism Motivation Regulation of the amount of protein that is...

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Algorithms for ribosome traffic engineering and their potential in improving host cells’ titer and growth rate | nature.com

mRNA translation is a fundamental cellular process consuming most of the intracellular energy; thus, it is under extensive evolutionary...

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Quantitative Modeling of Ribosomal Small Subunit Dynamics Using TCP-seq data

Modeling the ribosomal small subunit dynamic in s. cerevisiae based on TCP-seq data Translation Complex Profile Sequencing (TCP-seq), a...

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Unsupervised Learning for Heterologous Gene Expression Optimization Based on Host Genomic Context

Motivation: Dozens of studies in recent years have demonstrated that codon usage encodes various aspects related to all stages of gene...

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High-resolution modeling of the selection on local mRNA folding strength in coding sequences across the tree of life

mRNA can form local secondary structure within the protein-coding sequence, and the strength of this structure is thought to influence...

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TESTIMONIAL

From our partners and friends...

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)

Our Supporting Partners