AI-Driven Protein Engineering company for Biopharma, Industrial Biotechnology, Diagnostics, and Synthetic Biology
AI-Driven Protein Engineering Company
Engineering proteins with improved stability, activity, binding affinity, manufacturability, and developability requires combining computational biology, structural biology, machine learning, and experimental protein engineering.
Neoncorte Bio is a protein engineering company that combines artificial intelligence with computational protein engineering to help biotechnology companies, pharmaceutical organizations, industrial manufacturers, diagnostics developers, and synthetic biology teams accelerate protein optimization.
Our AI-assisted workflows help identify promising variants, reduce unnecessary laboratory screening, and accelerate Design-Build-Test-Learn (DBTL) cycles.
Why Choose an AI-Driven Protein Engineering Company?
Protein engineering projects often involve evaluating millions of potential amino acid substitutions while balancing multiple engineering objectives.
Computational protein engineering helps organizations:
- Prioritize promising mutations before laboratory experiments
- Reduce experimental screening effort
- Improve R&D efficiency
- Optimize multiple protein properties simultaneously
- Accelerate Design-Build-Test-Learn (DBTL) cycles
- Support data-driven engineering decisions
Protein Engineering Capabilities
Neoncorte Bio supports optimization of:
- Protein stability
- Thermostability
- Melting temperature (Tm)
- Catalytic efficiency
- Binding affinity
- Protein developability
- Manufacturability
- Expression yield
- Aggregation resistance
- Protein solubility
- pH stability
- Solvent tolerance
- Oxidative stability
- Freeze-thaw stability
- Cofactor specificity
- Substrate specificity
- Enantioselectivity
- Antibody viscosity
- Multi-parameter optimization
Our AI-Powered Protein Engineering Workflow
Neoncorte Bio integrates modern artificial intelligence with computational protein engineering through an iterative workflow that may include:
- Protein sequence analysis
- Structure-informed protein modeling
- Protein language models (PLMs)
- Zero-shot mutation prediction
- Computational mutagenesis
- Virtual Deep Mutational Scanning (DMS)
- Protein fitness landscape prediction
- Epistasis prediction
- Higher-order mutation prediction
- Active learning
- Bayesian optimization
- Smart library design
- Multi-objective optimization
- Design-Build-Test-Learn (DBTL)
Our Protein Engineering Services
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AI-Guided Protein OptimizationImprove protein stability, activity, affinity, manufacturability, and developability through computational design. -
Computational MutagenesisPredict the impact of amino acid substitutions before experimental testing. -
Virtual Deep Mutational ScanningExplore extensive mutational landscapes computationally to identify high-value variants. -
Multi-Parameter Protein OptimizationSimultaneously optimize stability, activity, expression, aggregation resistance, manufacturability, and additional protein properties. -
Smart Library DesignDesign focused mutation libraries that maximize information while minimizing laboratory screening. -
Design-Build-Test-Learn (DBTL) SupportIntegrate computational prediction with laboratory experimentation through iterative optimization cycles.
Industries We Support
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Biopharmaceutical Development
Optimize therapeutic proteins, antibodies, biologics, and drug discovery proteins. -
Synthetic Biology
Optimize proteins for engineered metabolic pathways and synthetic biological systems. -
Industrial Biotechnology
Engineer proteins and enzymes for sustainable manufacturing and industrial biocatalysis. -
Diagnostics
Improve proteins used in molecular diagnostics, biosensors, and analytical assays. -
Food and Agriculture
Develop proteins and enzymes for food processing, fermentation, agriculture, and specialty ingredients.
Design-Build-Test-Learn (DBTL) Collaboration
Our computational workflow supports every stage of modern protein engineering.
Design
Analyze protein sequences, structures, and engineering objectives.
Build
Prioritize mutations and focused variant libraries.
Test
Generate experimental data through laboratory validation.
Learn
Continuously improve predictive models using newly generated experimental data.
This iterative framework accelerates optimization while improving prediction accuracy over time.
Analyze protein sequences, structures, and engineering objectives.
Build
Prioritize mutations and focused variant libraries.
Test
Generate experimental data through laboratory validation.
Learn
Continuously improve predictive models using newly generated experimental data.
This iterative framework accelerates optimization while improving prediction accuracy over time.
Why Neoncorte Bio?
Neoncorte Bio combines expertise in:
- Artificial intelligence
- Machine learning
- Computational protein 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)
Who We Work With
We collaborate with:
- Biotechnology companies
- Pharmaceutical companies
- Industrial biotechnology organizations
- Antibody developers
- Diagnostic companies
- Synthetic biology startups
- CROs and CDMOs
- Academic research institutions
Frequently Asked Questions (FAQs)
Our platform harnesses advanced artificial intelligence and machine learning to design, optimize, and engineer proteins tailored to your specific requirements. Whether you need improved enzyme efficiency, novel protein functions, or tailored biotherapeutics, our solutions streamline the protein design process and reduce time-to-market.
Our services are ideal for biotechnology and pharmaceutical companies, academic research labs, industrial manufacturers, and any organization involved in protein-based product development. Applications include enzyme optimization, biocatalyst development, therapeutic protein design, and more.
The process begins with your input data, such as protein sequences, structural information, and desired functional attributes. Our AI algorithms then generate a library of potential protein variants and use predictive modeling to evaluate their stability, activity, and specificity. The top candidates are ranked and provided for further experimental validation, thereby reducing the number of required lab iterations.
Our platform is versatile and can be applied to a wide range of proteins, including enzymes, structural proteins, and therapeutic proteins. We can optimize existing proteins or design novel ones for applications in catalysis, biopharmaceuticals, diagnostics, and more.
Absolutely. We work closely with you to tailor our AI models and algorithms to your target proteins and desired outcomes. This includes integrating proprietary data and fine-tuning parameters to ensure that our platform delivers the most relevant and high-performing protein candidates for your application.
Our platform offers robust API support and standard data export formats (e.g., CSV, JSON) to seamlessly integrate with your Laboratory Information Management Systems (LIMS) and other data analytics pipelines. We also provide comprehensive onboarding and training to ensure a smooth adoption process.
Our models are trained on extensive datasets of protein interactions, structural data, and experimental results. We continuously refine our algorithms with real-world feedback to improve prediction accuracy. While our computational predictions are highly reliable, we recommend subsequent in vitro or in vivo validation to confirm the performance of the engineered proteins.
Yes, we provide collaborative support throughout the validation process. Our team can help design proof-of-concept studies and coordinate with your wet lab partners to verify the performance of our predicted protein variants.
We offer flexible pricing models based on the scope and duration of your project. Options include subscription-based plans for ongoing R&D, as well as project-specific pricing for one-off protein engineering campaigns. Please contact us for a personalized consultation and detailed quote.
Our dedicated customer support team is available to assist you at every stage—from initial onboarding and technical training to troubleshooting and ongoing optimization. We offer support via email, phone, and live chat, along with detailed documentation and a comprehensive FAQ section.
Partner with an AI-Driven Protein Engineering Company
Contact Neoncorte Bio to discuss your protein engineering project
Neoncorte Bio
Where AI Meets Biotechnology
Neoncorte Bio is at the forefront of the convergence between artificial intelligence and protein engineering. Our team comprises experts in computational biology, bioinformatics, and machine learning, all driven by a mission to accelerate innovation in protein 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 protein engineering
US, UK, Germany, Israel, Slovenia
Global Partner Network
Our network connects Neoncorte Bio's AI-driven protein engineering capabilities with wet-lab validation, bioprocess development and industrial biotechnology expertise.
Wet-Lab CROs, CDMOs/Bioprocess, Enzyme Manufacturers, Biotech & Research
Wet-Lab CROs, CDMOs/Bioprocess, Enzyme Manufacturers, Biotech & Research
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 USA
Email: contact@neoncorte.com
Email: contact@neoncorte.com
© All Rights Reserved. Neoncorte Bio. 2024-2026
contact@neoncorte.com
contact@neoncorte.com