AI-Powered Affinity Maturation — Faster, Smarter, Preclinical Protein Optimization
AI-Driven Affinity Maturation for Protein and Antibody Engineering
Enhance binding, stability, and specificity before the lab bench.
Neoncorte Bio accelerates preclinical affinity maturation through advanced AI/ML modeling and protein sequence optimization.
Neoncorte Bio accelerates preclinical affinity maturation through advanced AI/ML modeling and protein sequence optimization.
The Challenge
- Traditional affinity maturation is slow and resource-heavy. In preclinical discovery, optimizing binding affinity can take months of directed evolution, mutagenesis, and screening.
- Even with high-throughput assays, success rates are limited by sequence space complexity and experimental cost.
- Pharma and biotech teams need smarter ways to identify high-affinity variants before committing to expensive wet-lab work.
Our solution
AI/ML-driven preclinical affinity maturation.
At Neoncorte Bio, we integrate machine learning models, protein structure prediction, and in-silico mutagenesis to guide sequence optimization.
Our platform enables:
At Neoncorte Bio, we integrate machine learning models, protein structure prediction, and in-silico mutagenesis to guide sequence optimization.
Our platform enables:
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🧬 Predictive affinity scoring
evaluate millions of variants computationally.
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⚙️ In-silico directed evolution
simulate iterative improvements toward desired binding energy.
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🧠 Deep learning on protein–ligand complexes
capture subtle energetic and conformational effects missed by standard tools.
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💡 Cross-target transfer learning
leverage existing antibody–antigen or enzyme–substrate datasets to speed up new projects.
Applications
Built for protein engineers, antibody developers, and biotech innovatorsOur AI-powered affinity maturation is applicable to:
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- Monoclonal and bispecific antibodies
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- Enzymes and binding proteins
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- Aptamers and peptide scaffolds
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- Protein–ligand or receptor–ligand systems
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- Preclinical candidate optimization
Integration & Collaboration
We collaborate with CROs, pharma, and biotech companies at preclinical stages — bridging computational design with experimental validation.
Our platform integrates with:
Our platform integrates with:
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- Structural data (PDB, AlphaFold, Cryo-EM models)
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- Affinity assay results (SPR, BLI, ELISA)
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- Corporate LIMS or discovery pipelines
Why Neoncorte Bio
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🔬 Expertise in AI-driven protein & aptamer engineering
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⚗️ Proven workflows for binding prediction & optimization
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🤝 Recognized by industry research firms (DelveInsight, Polaris) as a perspective company shaping biopharma innovation
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🌍 Global partnerships in AI-powered discovery and preclinical R&D
Frequently Asked Questions (FAQs)
Our solution leverages state-of-the-art artificial intelligence and machine learning to design and optimize antibodies from scratch. By simulating antigen-antibody interactions and predicting optimal binding regions, our platform accelerates the discovery and development of high-affinity, specific antibodies for therapeutic, diagnostic, and research applications.
Our services are ideal for biotechnology and pharmaceutical companies, academic research labs, and diagnostic developers. Whether you’re working on immunotherapy, vaccine development, or diagnostic assay innovation, our platform can help streamline your antibody discovery process and reduce R&D timelines.
The process starts with your input data—such as antigen structure, target epitopes, and desired binding properties. Our AI algorithms then generate a diverse library of antibody sequences and predict their binding affinities using molecular simulations and deep learning models. We prioritize the most promising candidates for further experimental validation, significantly reducing the number of costly lab iterations.
Our platform can design a variety of antibodies, including monoclonal antibodies, bispecific/multispecific antibodies, and antibody fragments (such as Fab or scFv). The system is flexible and can be customized to meet the specific requirements of your therapeutic or diagnostic application.
Absolutely. We tailor our AI models to your target molecules, experimental constraints, and specific design goals. Our team works closely with you to adjust algorithm parameters and integrate your proprietary data, ensuring that our solution meets your unique research or commercial objectives.
Our platform features robust API support and standard data export formats (e.g., CSV, JSON) to seamlessly integrate with your Laboratory Information Management Systems (LIMS) and computational pipelines. Additionally, we offer comprehensive onboarding and training to ensure smooth adoption by your team.
Our models are trained on extensive datasets of antigen-antibody interactions and refined through continuous feedback from experimental validations. While our predictions are highly reliable, we recommend conducting in vitro or in vivo validation to confirm the functional performance of selected antibody candidates.
Yes, we provide proof-of-concept (PoC) trials and collaborative validation support. Our experts can help you set up experiments to test top candidate antibodies in your lab, ensuring that our computational predictions translate effectively into high-performance molecules.
We offer flexible pricing tailored to the scope of your project. Options include subscription-based models for ongoing research needs and project-based pricing for specific antibody discovery campaigns. Please contact us for a detailed consultation and custom quote.
Our dedicated customer support team is available to assist you at every stage—from onboarding and technical training to troubleshooting and updates. We offer multiple support channels, including email, phone, and live chat, as well as comprehensive documentation and FAQs.
Accelerate your preclinical pipeline with AI-guided affinity maturation.
Contact our team to discuss your target or request a private platform demonstration.
Neoncorte Bio
Where AI Meets Biotechnology
Neoncorte Bio is at the forefront of the convergence between artificial intelligence and protein & 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 protein engineering & enzyme engineering
Publications
Explore our contributions to the forefront of biotechnology and artificial intelligence. From AI-driven enzyme engineering to deep learning applications in data analysis, our publications highlight innovative solutions to complex challenges in molecular biology and computational science.
- 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:
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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 us
Phone: +1-503-754-3958 in US
Email: contact@neoncorte.com
Email: contact@neoncorte.com
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