Accelerate scientific discoveries with our AI-driven protein engineering tools. Unlock new possibilities for protein design, mutational scanning, and predictive modeling in your research projects
Empowering Academic Research 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 Academic Researchers, driving faster and more effective outcomes for your projects.
Optimization of cellulase variants
Why AI-Powered Protein Engineering
for Academic Institutions?
AI is transforming how researchers approach protein engineering, providing faster, more accurate insights into protein functionality, stability, and mutations. Our solutions are built for academic research institutions that need:
- Customizable Protein DesignAI-generated predictions for novel proteins tailored to your experimental requirements.
- Rapid Mutational ScanningEvaluate tens of millions of protein variants quickly and efficiently, reducing the trial-and-error phase.
- Cost-Efficient SolutionsMaximize your research funding with streamlined experiments, powered by AI models.
Enzyme optimisation solutions AI driven enzyme engineering Neoncorte Bio
AI-Driven Protein Engineering Tools for Academic Research
Cutting-edge AI technology to accelerate your research projects
Predictive Protein Design
Scalable Solutions for Large-Scale Research
Mutational Scanning and Fitness Predictions
Why Choose Our AI-Powered Protein Engineering Solutions for Academia?
Partnering with us offers key advantages for academic research institutions:
Proven Technology
Our AI tools have been tested and validated in various academic environments, helping researchers achieve results faster.
Customizable Models
Tailor the AI models to your specific research needs, from protein stability studies to mutational impact analysis.
Research Collaboration
We actively collaborate with universities and research labs to co-develop new protein models and enhance academic knowledge.
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 Enhance Your Research with AI-Powered Protein Engineering?
Transform your research with AI-driven tools designed for academic institutions. Contact us today to learn how we can assist with your next 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
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.
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