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 therapiesPharmaceuticals
- Our enzymes are tailored to improve food processing, enhancing flavor, texture, and shelf-life while reducing wasteFood and Beverage
- Our engineered enzymes improve crop protection and nutrient uptake, driving agricultural productivityAgriculture
- 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
- 1Data Collection & AnalysisGather molecular, genetic, and biochemical data.
- 2AI-Powered OptimizationUse AI models to predict the most efficient enzyme variants and simulate outcomes.
- 3Testing & RefinementPerform high-throughput screening, validate lab results, and refine the design for better performance.
- 4Scalability & ApplicationImplement 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 signalingTherapeutics
- Enzyme's role in studying cellular mechanisms and gene expressionBiotechnology 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)
Our solutions leverage advanced artificial intelligence and machine learning to design, optimize, and engineer enzymes tailored to your specific applications. Whether you need enhanced catalytic efficiency, improved stability, or novel enzyme functionalities, our platform streamlines the design process, reduces experimental iterations, and accelerates time-to-market.
Our services are ideal for biotechnology and pharmaceutical companies, industrial manufacturers, academic research labs, and any organization involved in enzyme applications. Industries such as biofuels, food processing, personal care, paper and pulp, and environmental management can all benefit from our AI-driven enzyme engineering tools.
Our process begins with your input data—such as enzyme sequences, structural information, and target reaction profiles. Our proprietary AI algorithms generate a library of enzyme variants and use predictive modeling to evaluate their catalytic activity, stability, and specificity. The top-performing candidates are ranked and provided for further experimental validation, significantly reducing the number of lab iterations needed.
Our platform is versatile and can be applied to a wide range of enzymes including hydrolases, oxidoreductases, transferases, and lyases. We focus on both enhancing the performance of existing enzymes and designing entirely new biocatalysts for applications in industrial processes, therapeutics, and research.
Absolutely. We collaborate with you to tailor our AI models and parameters to meet your project’s unique requirements. This includes integrating your proprietary data, adjusting target properties, and aligning the enzyme design with your process conditions to deliver a highly customized solution.
Our software features robust API support and data export options (e.g., CSV, JSON) that enable seamless integration with Laboratory Information Management Systems (LIMS) and other data analytics pipelines. We also offer comprehensive onboarding, training, and technical support to ensure smooth adoption by your team.
Our models are trained on extensive datasets from scientific literature and experimental data. Continuous feedback from laboratory validations helps refine our predictions. Although our AI predictions are highly reliable, we recommend in vitro or in vivo validation to confirm the performance of the engineered enzymes under your specific conditions.
Yes, we provide collaborative support during the validation phase. Our team can assist in designing proof-of-concept studies, advising on experimental protocols, and interpreting validation results to ensure that the engineered enzymes meet your performance criteria.
Our pricing is flexible and depends on the scope, duration, and level of customization required for your project. We offer subscription-based models for ongoing research and project-based pricing for specific campaigns. Please contact us for a personalized consultation and detailed quote.
Our dedicated customer support team is available throughout your journey—from initial consultation and onboarding to ongoing technical support and regular software updates. We offer multiple support channels including email, phone, live chat, and detailed documentation to ensure your success.
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
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
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contact@neoncorte.com
contact@neoncorte.com