Empowering the Future of Biotechnology

Neoncorte Bio -Scientific Publications & Industry Recognitions

Our impact is recognized both in the scientific community and in the biotechnology industry. Below you can find our peer-reviewed publications as well as mentions in independent market research reports that highlight Neoncorte Bio as a perspective company shaping the future of biopharma.

Neoncorte Bio

Where AI Meets Biotechnology

Neoncorte Bio is at the forefront of the convergence between artificial intelligence and protein & 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 protein engineering & enzyme engineering

Scientific 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.

Enhancing the Reverse Transcriptase Function in Taq Polymerase via AI-driven Multiparametric Rational Design. July 2024

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.
Rectangular knot diagrams classification with deep learning, October 2022

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.
All publications

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

Industry Recognition

Neoncorte Bio has been highlighted by independent market research firms as a perspective company shaping the future of biotechnology. These mentions reflect the growing industry acknowledgment of our work in AI-powered antibody discovery, aptamer design, and enzyme engineering.

Global Antibody Discovery Market Report (2022–2032), DelveInsight

Neoncorte Bio listed as a perspective company among leading innovators
AI-Generated Enzymes Market Outlook (2024–2034), Polaris Market Research

Highlighted as a pioneering player in AI-driven enzyme engineering
Market analysis of AI-based drug development of biopharmaceuticals (2025, Uppsala University)

Mentioned as an innovative biotech company applying AI to drug discovery

Neoncorte bio global antibody discovery perspective growth 2032

Neoncorte Bio Aiantibody discovery growth perspective

Get in touch with us

Phone: +1-503-754-3958 in US
Email: contact@neoncorte.com