SciTransfer
Organization

BIO-PRODICT BV

Dutch SME providing protein bioinformatics and enzyme engineering tools for industrial biocatalysis, green chemistry, and life sciences research.

Technology SMEhealthNLSMENo active H2020 projects
H2020 projects
4
As coordinator
0
Total EC funding
€1.8M
Unique partners
53
What they do

Their core work

Bio-Prodict is a Dutch SME specializing in protein engineering and bioinformatics, providing computational tools and databases for understanding protein structure-function relationships. They help research consortia engineer enzymes for industrial applications — from sustainable chemical synthesis to consumer product development. Their core capability is turning sequence and structural data into actionable insights for enzyme discovery, optimization, and thermostabilization.

Core expertise

What they specialise in

Enzyme engineering and protein bioinformaticsprimary
3 projects

Central to CARBAZYMES (enzyme panels, thermostabilization), Virus-X (viral metagenomics for enzyme discovery), and RADICALZ (rapid enzyme discovery and development).

Industrial biocatalysis and green chemistryprimary
2 projects

CARBAZYMES focused on C-C bond forming enzyme platforms for sustainable industrial processes; RADICALZ targets enzymes for greener consumer products.

Metagenomics and sequence analysissecondary
2 projects

Virus-X explored viral metagenomics for innovation value; RADICALZ applies metagenomics combined with machine learning for enzyme discovery.

Machine learning for protein designemerging
1 project

RADICALZ (2021-2025) explicitly combines machine learning with protein engineering and microfluidics for rapid enzyme development.

Genetic risk modelling and bioinformaticssecondary
1 project

BRIDGES applied their bioinformatics expertise to breast cancer genetic susceptibility and risk modelling, showing cross-domain versatility.

Evolution & trajectory

How they've shifted over time

Early focus
Enzyme engineering and bioinformatics
Recent focus
ML-driven enzyme discovery

In 2015-2019, Bio-Prodict focused on classical enzyme engineering — thermostabilization, enzyme panels for C-C bond forming reactions, and genetic risk modelling for breast cancer. From 2020 onward, their work shifted toward data-driven and high-throughput approaches: machine learning for protein design, metagenomics for enzyme discovery, and microfluidics for rapid screening. The trajectory shows a company moving from bioinformatics service provider to an AI-augmented enzyme discovery platform.

Bio-Prodict is integrating machine learning and high-throughput screening into their protein engineering toolkit, positioning themselves for the growing demand in sustainable biocatalysis and green chemistry.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European15 countries collaborated

Bio-Prodict operates exclusively as a specialist participant — they have never coordinated an H2020 project, instead contributing domain expertise to larger consortia. With 53 unique partners across 15 countries in just 4 projects, they work in large, diverse consortia where they provide a focused bioinformatics and enzyme engineering capability. This makes them a low-overhead, high-expertise partner: easy to integrate, unlikely to compete for leadership, and reliably delivering their niche contribution.

Despite only 4 projects, Bio-Prodict has built a wide network of 53 partners across 15 countries, reflecting their participation in large research consortia spanning much of Europe. Their Netherlands base and enzyme engineering focus connect them primarily to academic and industrial biotech partners.

Why partner with them

What sets them apart

Bio-Prodict sits at a rare intersection: a commercial SME with deep bioinformatics expertise specifically tuned to enzyme and protein engineering. Unlike academic groups, they offer production-ready computational tools and databases; unlike large pharma, they are agile and affordable as consortium partners. Their recent pivot toward machine learning-driven enzyme discovery makes them particularly relevant for projects targeting sustainable industrial biotechnology.

Notable projects

Highlights from their portfolio

  • RADICALZ
    Their largest funded project (EUR 686,815) and most recent, combining machine learning, metagenomics, and microfluidics for rapid enzyme discovery — represents their strategic direction.
  • CARBAZYMES
    Core to their identity: building an enzyme platform for sustainable C-C bond formation in industrial chemical synthesis, covering the full chain from enzyme panels to technical-scale cascade reactions.
  • BRIDGES
    Demonstrates cross-domain versatility — applying their bioinformatics tools to breast cancer genetic risk modelling, far outside their typical enzyme engineering work.
Cross-sector capabilities
Industrial biotechnology and green chemistryFood and agriculture (enzyme applications)Pharmaceutical development (API synthesis)Environmental remediation (biocatalysis)
Analysis note: Strong profile despite only 4 projects — keyword data is rich and projects are thematically coherent. Primary sector set to "health" based on H2020 pillar classification (P3-HEALTH), but their actual work is predominantly in industrial biotechnology and enzyme engineering. The BRIDGES project (breast cancer) appears to be an outlier where they contributed bioinformatics tools rather than domain expertise.