Your AI-Driven Partner for Enzyme Engineering, Biocatalyst Development, and Protein Optimization
Your AI-Driven Enzyme Engineering Partner
Successful enzyme engineering requires more than computational predictions or laboratory screening alone. Modern biocatalyst development benefits from integrating artificial intelligence, protein engineering, structural biology, and experimental validation into a single iterative workflow.
Neoncorte Bio partners with biotechnology companies, pharmaceutical organizations, industrial enzyme manufacturers, and synthetic biology teams to accelerate enzyme engineering using AI-driven computational workflows.
Whether your goal is improving catalytic activity, engineering new substrate specificity, enhancing stability, or developing enzymes for entirely new reactions, we work as an extension of your R&D team throughout the Design-Build-Test-Learn (DBTL) cycle.
Why Partner with Neoncorte Bio?
Building an internal AI protein engineering capability requires specialized expertise in computational biology, machine learning, structural bioinformatics, and experimental data integration.
By partnering with Neoncorte Bio, organizations can:
- Accelerate enzyme engineering programs
- Reduce experimental screening requirements
- Prioritize high-value variants before laboratory validation
- Explore millions of possible mutations computationally
- Optimize multiple enzyme properties simultaneously
- Integrate AI into existing Design-Build-Test-Learn workflows
- Support early-stage discovery through late-stage optimization
Our Collaborative Engineering Services
As your enzyme engineering partner, we provide support across the complete R&D lifecycle.
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AI-Guided Enzyme DesignUse machine learning and protein language models to identify promising enzyme variants before laboratory experiments. -
Computational MutagenesisEvaluate individual mutations and higher-order mutation combinations computationally. -
Virtual Deep Mutational Scanning (DMS)Explore millions of possible enzyme variants to identify high-potential candidates. -
Multi-Parameter OptimizationOptimize several enzyme characteristics simultaneously, rather than improving only a single property. -
Smart Library DesignCreate focused mutation libraries that maximize engineering efficiency. -
Machine Learning-Guided Directed EvolutionCombine predictive AI models with experimental feedback to reduce screening effort.
AI Technologies We Apply
Neoncorte Bio combines modern computational technologies including:
- Protein language models (PLMs)
- Artificial intelligence
- Machine learning
- Computational protein engineering
- Structure-informed enzyme modeling
- Computational mutagenesis
- Virtual Deep Mutational Scanning (DMS)
- Protein fitness landscape prediction
- Epistasis prediction
- Higher-order mutation prediction
- Active learning
- Bayesian optimization
- Multi-objective optimization
Flexible Collaboration Models
We support organizations through a variety of engagement models.
Project-Based Collaboration
Support a specific enzyme optimization objective with defined technical milestones.
Long-Term R&D Partnership
Work alongside your scientific team throughout multiple engineering campaigns.
AI-Enabled Design-Build-Test-Learn Support
Integrate predictive modeling into existing laboratory workflows to improve iteration speed.
Technology Partnership
Provide computational expertise that complements internal experimental capabilities.
Custom Enzyme Engineering Programs
Develop tailored computational workflows aligned with your scientific objectives and available experimental data.
Support a specific enzyme optimization objective with defined technical milestones.
Long-Term R&D Partnership
Work alongside your scientific team throughout multiple engineering campaigns.
AI-Enabled Design-Build-Test-Learn Support
Integrate predictive modeling into existing laboratory workflows to improve iteration speed.
Technology Partnership
Provide computational expertise that complements internal experimental capabilities.
Custom Enzyme Engineering Programs
Develop tailored computational workflows aligned with your scientific objectives and available experimental data.
Enzyme Classes We Support
Our platform supports engineering of:
- Amylases
- Lipases
- Proteases
- Cellulases
- Xylanases
- Laccases
- Peroxidases
- Glucose oxidases
- Alcohol dehydrogenases
- Ketoreductases (KREDs)
- Transaminases
- Nitrilases
- Monooxygenases
- Esterases
- Oxidoreductases
- Hydrolases
- Transferases
- Lyases
- Isomerases
- Ligases
Industries We Partner With
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Industrial Biotechnology
Engineer enzymes for sustainable manufacturing, specialty chemicals, and industrial biocatalysis. -
Pharmaceutical Manufacturing
Optimize enzymes used in active pharmaceutical ingredient (API) synthesis and green chemistry. -
Synthetic Biology
Optimize enzymes for engineered metabolic pathways and microbial production platforms. -
Food and Agriculture
Develop enzymes for food processing, dairy, baking, brewing, fermentation, and ingredient production. -
Environmental Biotechnology
Engineer enzymes for biodegradation, recycling, wastewater treatment, and environmental remediation.
Design-Build-Test-Learn (DBTL) Collaboration
Our partnership model integrates seamlessly into iterative enzyme engineering.
Design
Analyze enzyme sequences, structures, and engineering objectives.
Build
Prioritize mutations and focused variant libraries.
Test
Support experimental validation using partner-generated laboratory data.
Learn
Continuously improve predictive models with each engineering cycle.
Each iteration increases predictive performance while reducing unnecessary laboratory effort.
Analyze enzyme sequences, structures, and engineering objectives.
Build
Prioritize mutations and focused variant libraries.
Test
Support experimental validation using partner-generated laboratory data.
Learn
Continuously improve predictive models with each engineering cycle.
Each iteration increases predictive performance while reducing unnecessary laboratory effort.
Why Choose Neoncorte Bio?
Neoncorte Bio combines expertise in:
- Artificial intelligence
- Machine learning
- Computational enzyme engineering
- Protein language models
- Structural biology
- Computational mutagenesis
- Virtual Deep Mutational Scanning
- Protein fitness landscape prediction
- Epistasis prediction
- Higher-order mutation prediction
- Active learning
- Bayesian optimization
- Multi-objective optimization
- Design-Build-Test-Learn (DBTL)
Rather than acting solely as a software provider or consulting firm, we work collaboratively with scientific teams to accelerate enzyme engineering and improve R&D productivity.
Who We Partner With
Our collaborators include:
- Biotechnology companies
- Pharmaceutical companies
- Industrial enzyme manufacturers
- Synthetic biology startups
- Food technology companies
- Chemical manufacturers
- CROs and CDMOs
- Academic research institutions
Frequently Asked Questions (FAQs)
Our solutions leverage advanced artificial intelligence and machine learning to design, optimize, and engineer enzymes tailored to your specific applications. Whether you need enhanced catalytic efficiency, improved stability, or novel enzyme functionalities, our platform streamlines the design process, reduces experimental iterations, and accelerates time-to-market.
Our services are ideal for biotechnology and pharmaceutical companies, industrial manufacturers, academic research labs, and any organization involved in enzyme applications. Industries such as biofuels, food processing, personal care, paper and pulp, and environmental management can all benefit from our AI-driven enzyme engineering tools.
Our process begins with your input data—such as enzyme sequences, structural information, and target reaction profiles. Our proprietary AI algorithms generate a library of enzyme variants and use predictive modeling to evaluate their catalytic activity, stability, and specificity. The top-performing candidates are ranked and provided for further experimental validation, significantly reducing the number of lab iterations needed.
Our platform is versatile and can be applied to a wide range of enzymes including hydrolases, oxidoreductases, transferases, and lyases. We focus on both enhancing the performance of existing enzymes and designing entirely new biocatalysts for applications in industrial processes, therapeutics, and research.
Absolutely. We collaborate with you to tailor our AI models and parameters to meet your project’s unique requirements. This includes integrating your proprietary data, adjusting target properties, and aligning the enzyme design with your process conditions to deliver a highly customized solution.
Our software features robust API support and data export options (e.g., CSV, JSON) that enable seamless integration with Laboratory Information Management Systems (LIMS) and other data analytics pipelines. We also offer comprehensive onboarding, training, and technical support to ensure smooth adoption by your team.
Our models are trained on extensive datasets from scientific literature and experimental data. Continuous feedback from laboratory validations helps refine our predictions. Although our AI predictions are highly reliable, we recommend in vitro or in vivo validation to confirm the performance of the engineered enzymes under your specific conditions.
Yes, we provide collaborative support during the validation phase. Our team can assist in designing proof-of-concept studies, advising on experimental protocols, and interpreting validation results to ensure that the engineered enzymes meet your performance criteria.
Our pricing is flexible and depends on the scope, duration, and level of customization required for your project. We offer subscription-based models for ongoing research and project-based pricing for specific campaigns. Please contact us for a personalized consultation and detailed quote.
Our dedicated customer support team is available throughout your journey—from initial consultation and onboarding to ongoing technical support and regular software updates. We offer multiple support channels including email, phone, live chat, and detailed documentation to ensure your success.
Let's Build Better Enzymes Together
Contact Neoncorte Bio to explore a long-term enzyme engineering partnership tailored to your scientific goals
Neoncorte Bio
Where AI Meets Biotechnology
Neoncorte Bio is at the forefront of the convergence between artificial intelligence and enzyme engineering. Our team comprises experts in computational biology, bioinformatics, and machine learning, all driven by a mission to accelerate innovation in enzyme design. By leveraging our advanced AI models, we provide unparalleled solutions that enhance efficiency, reduce costs, and push the boundaries of what's possible in enzyme engineering
Proud Member of Leading Global AI Programs
Neoncorte Bio is part of the NVIDIA Inception and Nebius for Startups programs — two of the world’s leading ecosystems for high-performance AI innovation. These partnerships strengthen our ability to deliver next-generation AI-driven protein, enzyme, and aptamer engineering.
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As a member of NVIDIA Inception, Neoncorte Bio gains access to cutting-edge GPU technologies, expert guidance, and a global AI ecosystem that supports companies from prototype to production. The program empowers us to explore new AI opportunities and build high-performance biological design pipelines powered by NVIDIA’s world-class platform. -
Through Nebius for Startups, we gain access to high-performance compute infrastructure optimized for large-scale AI workloads, along with hands-on technical guidance and a strong community of innovative AI companies. Nebius enables us to train and deploy complex biological models more efficiently — accelerating enzyme, protein, and aptamer design while supporting rapid scaling of our R&D pipelines.
Publications
Scientific Publication of Neoncorte Bio Team
- Modification of natural enzymes to introduce new properties and enhance existing ones is a central challenge in bioengineering. This study is focused on the development of Taq polymerase mutants that show enhanced reverse transcriptase (RTase) activity while retaining other desirable properties such as fidelity, 5′-3′ exonuclease activity, effective deoxyuracil incorporation, and tolerance to locked nucleic acid (LNA)-containing substrates.
- The transcriptomic data are being frequently used in the research of biomarker genes of different diseases and biological states. The most common tasks there are the data harmonization and treatment outcome prediction. Both of them can be addressed via the style transfer approach. Either technical factors or any biological details about the samples which we would like to control (gender, biological state, treatment, etc.) can be used as style components.
- List of all Neoncorte Bio publications dedicated to Molecular Biology, Biotechnology, Artificial Intelligence and Artificial Neural Networks, published mostly by Nikolay Russkikh, CEO of Neoncorte Bio
Our Expertise in Action
With extensive experience in AI applications and software engineering tailored to the life sciences, we specialize in solving complex challenges and delivering innovative solutions for our customers. Our work demonstrates a deep understanding of cutting-edge technologies and their application in the real world.
Here are examples of the types of projects we have successfully delivered:
Here are examples of the types of projects we have successfully delivered:
- Automated NGS Data Analysis:Designed a production-grade solution for the automated processing, annotation, and analysis of Next-Generation Sequencing (NGS) data.
- Single-Cell Data Integration:Built state-of-the-art tools for integrating multimodal single-cell data, achieving recognition for technical excellence.
- Metagenomic Classification Algorithms:Developed advanced methods for classifying sequencing reads in metagenomics research.
- High-Throughput Image Processing Pipelines:Engineered an efficient pipeline to process millions of sequencing images with exceptional accuracy.
- Cell Counting via AI:Created a computer vision solution for precise cell counting in microphotography images, streamlining data analysis.
Get in touch with our team
Phone: +1-503-754-3958
Email: contact@neoncorte.com
Email: contact@neoncorte.com
© All Rights Reserved. Neoncorte Bio. 2024-2026
contact@neoncorte.com
contact@neoncorte.com