Accelerate aptamer discovery with our cutting-edge AI technology to develop high-affinity aptamers for your specific needs in diagnostics
Revolutionize Cancer Diagnostics with AI-Driven Aptamer Design
At Neoncorte Bio, we specialize in designing high-affinity aptamers using cutting-edge AI and machine learning. Our proprietary platform leverages protein language models and predictive analytics to rapidly discover and optimize aptamers that target cancer biomarkers with unmatched precision.
Why Choose Our Custom Aptamer Design Solutions?
Speed
Our platform reduces discovery time by up to 10x compared to traditional SELEX methods, allowing you to accelerate your diagnostic development cycle.
Cost-Effective
By streamlining the design process and reducing laboratory expenses, our solutions can lower R&D costs by up to 60%, making cutting-edge cancer diagnostics more accessible.
Accuracy
With predictive accuracies of up to 95%, our AI models ensure that only the most promising aptamer candidates are selected, minimizing costly experimental iterations.
Precision
Our tailored approach allows for the customization of aptamers to target specific cancer antigens, enhancing diagnostic sensitivity and specificity.
Frequently Asked Questions (FAQs)
Our software leverages advanced artificial intelligence and machine learning algorithms to design and optimize aptamers—short, single-stranded DNA or RNA molecules that bind to specific targets. The tool streamlines the discovery process, reduces experimental iterations, and delivers high-affinity, specific aptamer candidates for therapeutic, diagnostic, or research applications.
Our solution is ideal for biotechnology and pharmaceutical companies, academic research labs, diagnostic developers, and any organization involved in molecular recognition and bioassay development. Whether you’re working on biomarker discovery, drug delivery, or point-of-care diagnostics, our tool can accelerate your aptamer design process.
The process begins by inputting your target molecule’s structure and desired binding characteristics. Our platform then uses deep learning models and molecular simulations to generate a library of potential aptamer sequences. These sequences are evaluated and ranked based on predicted binding affinity, specificity, and stability. You receive a prioritized list of candidates for further experimental validation.
Typically, you will need structural data of the target (e.g., protein 3D structure, sequence information) and information on desired binding properties. Our team can help guide you through the data requirements during an initial consultation.
Absolutely! Our platform is highly customizable. We work with you to tailor the AI algorithms and parameters according to your target molecule, assay requirements, and experimental constraints. Custom integration with your existing R&D workflows is also available.
Our software features API integration and standard data export options (e.g., CSV, JSON) to seamlessly integrate with your Laboratory Information Management Systems (LIMS) and data analysis pipelines. We also offer training sessions to ensure your team can easily adopt the platform.
Our AI models are trained on extensive datasets of known aptamer-target interactions and validated through iterative cycles of experimental feedback. This ensures high predictive accuracy. However, while our software provides a strong starting point, experimental validation is recommended to confirm performance in your specific application.
Yes, we provide PoC trials and collaborative validation support. We work closely with your team to validate the top aptamer candidates in your wet lab, ensuring that the predictions translate into practical, high-performance molecules.
Our pricing is tailored based on your project scope, required customization, and integration needs. We offer subscription-based models as well as project-based pricing. Please contact us for a detailed quote and consultation.
We offer comprehensive customer support that includes onboarding training, technical support via email and phone, and regular software updates. Our dedicated customer success team is available to assist you at every stage of your aptamer design journey.
Get Started Cancer Diagnostics with AI-Driven Aptamer Design Solutions
Neoncorte Bio
Where AI Meets Biotechnology
Neoncorte Bio is at the forefront of the convergence between artificial intelligence and protein engineering. Our team comprises experts in computational biology, bioinformatics, and machine learning, all driven by a mission to accelerate innovation in protein 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
Publications
Explore our contributions to the forefront of biotechnology and artificial intelligence. From AI-driven enzyme engineering to deep learning applications in data analysis, our publications highlight innovative solutions to complex challenges in molecular biology and computational science.
- 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:
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
Email: contact@neoncorte.com
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contact@neoncorte.com
contact@neoncorte.com