High-Affinity, Highly Stable Ligands for ELISA, LFIA, Biosensors & Molecular Diagnostics

AI-Driven Aptamer Discovery for Diagnostic Kit Manufacturers

Diagnostic manufacturers are under pressure to deliver faster, more sensitive, and more stable assays. Traditional antibody generation is slow, costly, and inconsistent.

Aptamers offer a scalable, reproducible, and highly specific alternative — and AI makes them even better.

Neoncorte Bio provides AI/ML-driven aptamer design and affinity maturation tailored for diagnostic kit developers working on:

  • ELISA / sandwich assays
  • Lateral flow immunoassays (LFIA)
  • Point-of-care diagnostics
  • Electrochemical & optical biosensors
  • Multiplexed detection platforms
  • Companion diagnostics

Our platform accelerates ligand discovery from months → weeks, while achieving therapeutic-grade affinity and selectivity.

Aptamer diagnostic kits Neoncorte Bio
Rapid Discovery of High-Affinity Aptamers
We combine generative AI models, in silico mutational scanning, and molecular dynamics to design aptamers for biomarkers including:
  • Oncology (HER2, EGFR, PD-L1, DLL3, MUC1, EpCAM)
  • Cardiac (Troponin I/T, BNP/NT-proBNP)
  • Infectious disease (SARS-CoV-2 Spike, Influenza HA, HIV gp120)
  • Inflammation (CRP, IL-6, TNF-α)
Our computational engine identifies optimal binding sequences and predicts structure–function relationships before wet-lab validation.
Affinity Maturation & Optimization for Kit Performance
We engineer candidates to improve:
  • Sensitivity (low-picomolar detection)
  • Selectivity against interfering proteins
  • Stability at room temperature
  • Performance on membranes, beads, gold nanoparticles, electrodes
  • Buffer compatibility for commercial diagnostic formats
This results in better assay reproducibility and lower false positives/negatives.
Assay-Ready Aptamers for IVD Manufacturers
Delivered in formats suited for your application:
  • Biotinylated aptamers
  • 5’/3’ modified aptamers
  • Fluorophore/cy5/FAM tags
  • Thiol-modified for surface attachment
  • Nanoparticle-functionalized aptamers
  • Aptamer pairs for sandwich assays
We optimize sequences specifically for the physical chemistry of your diagnostic platform.
Faster Development Cycles → Faster Time to Market
Our AI-first workflow eliminates slow traditional SELEX cycles:
  • Virtual ligand generation
  • High-throughput in silico screening
  • Sequence optimization
  • Rapid wet-lab validation
This reduces development time by 50–80%, enabling faster market entry for new diagnostic products.

Why Aptamers for Diagnostics?

  • Room-temperature stability
    Ideal for global or low-resource shipment.
  • Batch-to-batch consistency
    Chemically synthesized, fully reproducible.
  • Lower cost than monoclonal antibodies
    Especially in high-volume test kit production.
  • Compatible with emerging biosensor technologies
    Electrochemical, microfluidic, nanoparticle, photonic, etc.
  • Faster optimization for new biomarkers
    Perfect for rapidly emerging infectious diseases.

Why Neoncorte Bio?

AI/ML-Driven Protein & Aptamer Engineering
Cutting-edge models trained on structural and sequence data across proteins, aptamers, and biomolecular libraries.
Experience Across Diagnostics & Biosensing
We understand the chemistry and engineering constraints of real-world kits.
Custom Development for Specific Biomarkers
Tailored designs for your unique diagnostic target.
Fast Turnaround & Industry-Grade Validation
Optimized workflows for precommercial and IVD development.
Frequently Asked Questions (FAQs)

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 software and tools that enhance efficiency, reduce costs, and push the boundaries of what's possible in protein engineering

Proud Member of Leading Global AI Programs

Neoncorte Bio is part of the NVIDIA Inception and Nebius for Startups programs — two of the world’s leading ecosystems for high-performance AI innovation. These partnerships strengthen our ability to deliver next-generation AI-driven protein, enzyme, and aptamer engineering.
  • NVIDIA Inception Neoncorte Bio AI life sciences company
    As a member of NVIDIA Inception, Neoncorte Bio gains access to cutting-edge GPU technologies, expert guidance, and a global AI ecosystem that supports companies from prototype to production. The program empowers us to explore new AI opportunities and build high-performance biological design pipelines powered by NVIDIA’s world-class platform.
  • Nebius AI life sciences Neoncorte Bio
    Through Nebius for Startups, we gain access to high-performance compute infrastructure optimized for large-scale AI workloads, along with hands-on technical guidance and a strong community of innovative AI companies. Nebius enables us to train and deploy complex biological models more efficiently — accelerating enzyme, protein, and aptamer design while supporting rapid scaling of our R&D pipelines.

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 software & tools 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