Your AI-Driven Partner for Protein Engineering, Biologics Optimization, and Computational Protein Design
Your AI-Driven Protein Engineering Partner
Engineering proteins with improved performance requires expertise across computational biology, artificial intelligence, structural biology, and experimental validation. Whether you are developing therapeutic proteins, antibodies, industrial enzymes, or novel biologics, integrating AI into the engineering process can significantly improve R&D efficiency.
Neoncorte Bio partners with biotechnology companies, pharmaceutical organizations, industrial biotechnology firms, CROs, and synthetic biology innovators to accelerate protein engineering using AI-driven computational workflows.
We work as an extension of your scientific team, helping prioritize promising protein variants, reduce unnecessary experimental screening, and accelerate iterative Design-Build-Test-Learn (DBTL) cycles.
Why Choose a Protein Engineering Partner?
Building internal computational protein engineering capabilities requires expertise in machine learning, protein language models, structural bioinformatics, molecular modeling, and data-driven optimization.
Partnering with Neoncorte Bio enables organizations to:
- Accelerate protein engineering programs
- Reduce experimental screening requirements
- Prioritize promising variants before laboratory validation
- Explore millions of sequence variants computationally
- Optimize multiple protein properties simultaneously
- Integrate AI into existing R&D workflows
- Support discovery, optimization, and lead development programs
- Our computational workflows are designed to complement laboratory experimentation while improving engineering efficiency.
Our Collaborative Protein Engineering Services
As your protein engineering partner, we support every stage of protein optimization.
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AI-Guided Protein DesignApply machine learning and protein language models to identify promising variants before laboratory testing. -
Computational MutagenesisPredict the effects of individual mutations and mutation combinations on protein performance. -
Virtual Deep Mutational Scanning (DMS)Evaluate millions of potential sequence variants computationally to identify high-value engineering opportunities. -
Multi-Parameter OptimizationOptimize several protein properties simultaneously instead of improving one characteristic at a time. -
Machine Learning-Guided Directed EvolutionCombine predictive AI models with experimental feedback to reduce laboratory screening while improving engineering outcomes. -
Smart Library DesignCreate focused mutation libraries that maximize engineering efficiency.
AI Technologies We Apply
Neoncorte Bio integrates advanced computational technologies including:
- Protein language models (PLMs)
- Artificial intelligence
- Machine learning
- Computational protein engineering
- Structure-informed protein 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 adapt our collaboration model to fit your scientific objectives.
Project-Based Protein Engineering
Support targeted optimization campaigns with defined deliverables and milestones.
Long-Term R&D Partnership
Collaborate across multiple engineering programs as an extension of your scientific team.
AI-Enabled Design-Build-Test-Learn Support
Integrate predictive modeling into your existing laboratory workflows.
Computational Biology Partnership
Provide specialized AI and computational expertise alongside your experimental capabilities.
Custom Protein Engineering Programs
Develop tailored computational workflows based on your protein class, available data, and engineering objectives.
Support targeted optimization campaigns with defined deliverables and milestones.
Long-Term R&D Partnership
Collaborate across multiple engineering programs as an extension of your scientific team.
AI-Enabled Design-Build-Test-Learn Support
Integrate predictive modeling into your existing laboratory workflows.
Computational Biology Partnership
Provide specialized AI and computational expertise alongside your experimental capabilities.
Custom Protein Engineering Programs
Develop tailored computational workflows based on your protein class, available data, and engineering objectives.
Protein Classes We Support
Our AI platform supports engineering of:
- Therapeutic proteins
- Monoclonal antibodies
- Antibody fragments
- Industrial enzymes
- Diagnostic proteins
- Receptor proteins
- Cytokines
- Growth factors
- Fusion proteins
- Biosensor proteins
- Synthetic biology proteins
- Novel protein scaffolds
- Recombinant proteins
Industries We Partner With
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Biopharmaceutical Development
Optimize therapeutic proteins, antibodies, and biologics. -
Industrial Biotechnology
Engineer enzymes and proteins for sustainable manufacturing and industrial biocatalysis. -
Synthetic Biology
Improve proteins for engineered metabolic pathways and microbial production platforms. -
Diagnostics
Develop proteins with enhanced sensitivity, specificity, and stability. -
Food & Beverage
Optimize industrial enzymes used in food processing, fermentation, dairy, brewing, and ingredient production.
Design-Build-Test-Learn (DBTL) Collaboration
Our partnership model integrates predictive AI with experimental validation.
Design
Analyze protein 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 DBTL iteration increases prediction accuracy while reducing unnecessary laboratory effort.
Analyze protein 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 DBTL iteration increases prediction accuracy while reducing unnecessary laboratory effort.
Why Choose 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 Partner With
Our collaborators include:
- Biotechnology companies
- Pharmaceutical companies
- Industrial biotechnology organizations
- Antibody developers
- Enzyme manufacturers
- CROs and CDMOs
- Synthetic biology startups
- 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.
Let's Engineer Better Proteins Together
Contact Neoncorte Bio to explore a protein 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