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    Enzyme Engineering Easily
    Hire our sophisticated AI algorithms and predictive modeling capabilities to improve your enzymes
    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

    Our services
    Tailored Enzyme Engineering Services

    We utilize advanced deep learning techniques and molecular dynamics simulations, paired with our robust enzyme database and powerful computational resources, to enhance the accuracy and consistency of enzyme design
    AI-Driven Enzyme Design
    Molecular Dynamics Simulations
    Custom Enzyme Development

    Solutions

    • We design enzymes that enhance drug efficacy and reduce side effects, enabling more effective and safer therapies
      Pharmaceuticals
    • Our enzymes are tailored to improve food processing, enhancing flavor, texture, and shelf-life while reducing waste
      Food and Beverage
    • Our engineered enzymes improve crop protection and nutrient uptake, driving agricultural productivity
      Agriculture
    • We optimize enzymes for biofuel production, making alternative energy sources more efficient and sustainable.
      Biofuels
    Ease Your Enzyme Engeneering
    Let’s collaborate to make enzyme R&D faster, cheaper, and more effective

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    Technologies

    We combine Artificial Intelligence with computational infrastructure and integrate enzyme data to ease your experience
    • AI & Machine Learning
      Our proprietary AI algorithms predict enzyme behavior with unmatched accuracy. By leveraging machine learning, we identify optimal mutations and streamline the enzyme design process
    • High-Performance Computing
      Our state-of-the-art computational infrastructure allows us to simulate complex molecular dynamics, ensuring that our enzyme designs are not only theoretically sound but also practically viable
    • Data Integration
      We integrate data from multiple sources, including our enzyme database, scientific literature, and experimental results, to create a comprehensive model of enzyme functionality

    Publications

    Scientific Publication of Neoncorte Bio Team
    • Enhancing the Reverse Transcriptase Function in Taq Polymerase via AI-driven Multiparametric Rational Design. July 2024
      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.
    • Rectangular knot diagrams classification with deep learning, October 2022
      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.
    • All publications
      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

    Get in touch with our team
    Phone: +1-503-754-3958
    Email: contact@neoncorte.com
    @2024 All Rights Reserved Neoncorte Bio