Accelerate target validation, hit discovery, and affinity maturation with next-generation AI/ML for aptamer design and protein engineering.
AI-Driven Drug Discovery Company for Faster, Smarter Preclinical Innovation
Welcome to Neoncorte Bio, a pioneering AI-powered drug discovery company transforming the field of protein engineering and aptamer discovery. By integrating advanced artificial intelligence with extensive expertise in molecular biology, our team accelerates the design, selection, and optimization of aptamers and proteins customized for diagnostics, therapeutics, and biosensor applications. With deep experience in both AI and biotechnology, we provide innovative, data-driven solutions tailored to meet the specific requirements of your research or industry projects, enabling faster, more efficient outcomes in key areas such as academic research, drug discovery, and clinical diagnostics.
What We Do
Reinventing Early Drug Discovery With AI Neoncorte Bio is an AI-first molecular engineering company specializing in aptamer discovery, protein optimization, and preclinical-stage affinity maturation. We combine structural biology, foundation models, and deep generative AI to reduce experimental cycles from months to days.
In silico aptamer design with high target specificity
AI-guided protein engineering & sequence optimization
Rapid affinity maturation before wet-lab validation
Prediction of binding conformations and off-target risk
Why It Matters
AI Accelerates Drug Development Traditional wet-lab discovery is slow and expensive. Our AI technology shortens the time from idea to validated candidate, enabling:
50–80% fewer laboratory cycles
Lower cost per candidate
Higher probability of success in lead optimization
Better decision-making in early clinical pipelines
Technologies
Our AI Platform
Generative AI for Aptamers & Proteins
Designs, mutates, evaluates, and ranks sequences with structural prediction.
Predictive Binding & Stability Models
Simulate folding, target affinity, and off-target interactions.
Neoncorte Bio is at the forefront of the convergence between artificial intelligence and protein engineering & aptamer design. 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.
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.
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.