Accelerate drug discovery and protein optimization with advanced AI tools designed for biotech startups. Reduce R&D timelines and bring innovative products to market faster
Revolutionize Your Biotech Startup with AI-Powered Protein Engineering
Welcome to Neoncorte Bio, an AI-powered protein engineering company revolutionizing drug discovery and development. By combining cutting-edge artificial intelligence with deep expertise in biotechnology, our team accelerates the design and optimization of proteins, enzymes, and aptamers tailored for therapeutic solutions. With years of experience in both biotech and AI, we create innovative, data-driven solutions designed specifically to meet the unique needs of BioTech startups, driving faster and more effective outcomes for your projects.
Why AI-Driven Protein Engineering Matters
AI-powered protein engineering can rapidly advance your biotech innovations by optimizing protein design, stability, and function at unprecedented speeds. Our tools allow startups to:
- Predictthe best variants of proteins for specific use cases.
- Optimizeprotein interactions for therapeutic or diagnostic applications.
- AccelerateR&D timelines, leading to faster market entry.
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AI-Powered Protein Engineering Solutions for Biotech Startups
Discover how our advanced AI tools can transform your R&D pipeline
Custom Protein Design
Leverage AI to design and engineer novel proteins tailored to your specific needs, whether for therapeutic, diagnostic, or industrial applications.
Protein Stability and Function Optimization
AI-based algorithms for mutational scanning and structural analysis, enabling faster protein optimization.
AI-Assisted Drug Discovery
Accelerate drug discovery by predicting protein-ligand and protein-protein interactions with high accuracy.
Why Choose Us for AI-Powered Protein Engineering?
Our AI solutions are designed to enhance your R&D capabilities, offering the following advantages:
Speed
AI reduces R&D timelines, accelerating your ability to meet milestones and secure funding.
Cost Efficiency
Fewer lab experiments needed with AI-driven predictions, cutting down development costs.
Flexibility
Our customizable tools adapt to your project’s needs, from protein design to full optimization.
Optimization of cellulase variants
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.
Ready to Elevate Your Biotech Startup?
Let us help you bring innovative protein-based solutions to life with AI. Reach out today to learn more about our customized AI-powered tools for biotech startups.
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
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:
- 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.
Who we are?
Get in touch with our team
Phone: +1-503-754-3958
Email: contact@neoncorte.com
Email: contact@neoncorte.com
© All Rights Reserved. Neoncorte Bio. 2024-2025
contact@neoncorte.com
contact@neoncorte.com