Revolutionize NAD+ ADP-ribosyltransferase Enzyme Engineering with AI
Accelerate your enzyme innovation with AI-driven optimization tailored for EC 2.7.7.49, CAS 9068-38-6 in therapeutics, research, and bioprocessing.

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

Key Features

We are strengthening enzyme engineering process in several directions at once
  • AI-optimized enzyme function
  • Faster R&D cycles
  • Higher precision and efficiency
  • Applications in disease treatment, biotech research, and industrial use


The Challenge of Engineering NAD+ ADP-ribosyltransferase
(EC 2.7.7.49)

We provide complexity of optimizing this enzyme for industrial or therapeutic use. Enzyme engineering faces key challenges in optimizing efficiency, stability, and activity, which are critical for effective development and production.
AI-Driven Enzyme Design
Molecular Dynamics Simulations
Custom Enzyme Development

AI-Powered Solutions for Enzyme Optimization

  • 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

How it works

How Our AI-Powered Enzyme Engineering Works
  • 1
    Data Collection & Analysis
    Gather molecular, genetic, and biochemical data.
  • 2
    AI-Powered Optimization
    Use AI models to predict the most efficient enzyme variants and simulate outcomes.
  • 3
    Testing & Refinement
    Perform high-throughput screening, validate lab results, and refine the design for better performance.
  • 4
    Scalability & Application
    Implement the optimized enzyme in industrial or therapeutic processes.

Applications of EC 2.7.7.49 in Enzyme Engineering

  • Improving enzyme therapies for diseases involving DNA repair or cell signaling
    Therapeutics
  • Enzyme's role in studying cellular mechanisms and gene expression

    Biotechnology Research
  • Biocatalysis in the production of biofuels, pharmaceuticals, and other industrial products.
    Industrial Use

Why Choose Our AI-Enzyme Engineering

Significant time and cost savings in R&D
Custom-tailored enzyme properties for specific needs
Increased enzyme efficiency and stability
Accelerated path to commercialization
Frequently Asked Questions (FAQs)
Ready to Revolutionize Your Enzyme Engineering?
Request Your Free Consultation Today

Get in touch with our team
Phone: +1-503-754-3958
Email: contact@neoncorte.com

Publications

Scientific Publication of Neoncorte Bio Team
  • 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