Innovate with AI-Powered De Novo Enzyme design for Custom Enzymes

AI-driven enzyme design software utilizing protein language models

At Neoncorte Bio, we are transforming the enzyme engineering landscape through AI-driven enzyme design software utilizing protein language models. By designing enzymes from scratch, without relying on natural templates, our services enable the creation of novel enzymes tailored for specific industrial, pharmaceutical, and biotechnology needs. With artificial intelligence at the core, we speed up the design process, improve functionality, and deliver bespoke enzyme software that outperform existing alternatives.


enzyme design software protein language models
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What is AI-driven enzyme design software utilizing PLMs?


AI-driven enzyme design software refers to the design of new enzymes from the ground up, without being constrained by naturally occurring proteins. This approach uses computational tools, structural biology, and AI to generate enzymes that can perform specific reactions or function in challenging environments. By leveraging machine learning, we predict and optimize enzyme structure, function, and stability, creating solutions that meet highly specialized industrial demands.
  • Custom Enzyme Design: Tailor-made enzymes for your unique application needs, created from scratch using AI algorithms.
  • Enhanced Stability: Design enzymes that can operate in extreme conditions, such as high temperatures or pH levels, for industrial processes.
  • Unprecedented Efficiency: AI-driven engineering creates enzymes with optimized catalytic efficiency for improved industrial performance.

Our PLM-driven enzyme design software:

  • Novel Enzyme Design
    Using PLMs and machine learning, we design entirely new enzymes for specific reactions or environments, such as extreme temperatures or high salinity.
  • PLM-Based Structure Prediction
    Our AI models predict novel enzyme structures that have not been discovered in nature, allowing for highly targeted designs.
  • Functional Optimization
    With de novo designs, we use PLMs to optimize enzyme active sites for specific substrates, improving the speed and efficiency of reactions.
  • Design for Extreme Conditions
    Create enzymes that can withstand extreme environments, such as high temperature, pressure, or pH, where natural enzymes often fail.

Industries Benefiting from PLM-driven enzyme design software:

Pharmaceuticals
Industrial Biotechnology
Biofuels
Food processing

Why Choose Our Enzyme Design Software

Significant time and cost savings in R&D
Custom-tailored enzyme properties for specific needs
Increased enzyme efficiency and stability
Accelerated path to commercialization
enzyme design software plm
Optimization of cellulase variants
Frequently Asked Questions (FAQs)

Are you ready to innovate with custom enzymes designed from scratch?

Contact us today to see how PLM-powered enzyme engineering can transform your processes and deliver unmatched performance in your industry

Neoncorte Bio

Where PLM Meets Biotechnology
Neoncorte Bio is at the forefront of the convergence between protein language models 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

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

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:
  • 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