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

Our services
Tailored Protein & 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 protein & 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 Protein & 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 protein & 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