MendelFold
MendelFold is an early-stage biotech/software spin-out of Mendel University in Brno that was founded in November 2024 for building tools to understand how proteins move, communicate, and drive biological function. Our mission is to turn protein sequence data into actionable insight, connecting structure prediction with functional networks and pathways; a key step in protein synthetic biology and drug design.
Our Mission
To break the boundaries of synthetic biology
for health and biotech applications
About Us
MendelFOLD was founded in November 2024 in the innovative research environment of Mendel University in Brno, Czech Republic. The company grew from the collaboration of a multinational team of scientists and enterpreuneurs working across computational biology, molecular oncology, nanotechnology, and chemical biology; united by a shared interest in one of biology's greatest challenges: understanding how proteins fold, move, and function.
The company's early work was built on three successful research projects and peer-reviewed publications that progressively advanced the team's understanding of protein structure and function [Comput Biol Med 190, 110033 (2025); J Chem Inf Model 63, 4405-4422 (2023); Comput Struct Biotechnol J 19, 5443-5454 (2021)]. These insights became the foundation for a proprietary computational approach designed to predict protein 3D structure via protein folding tree, identify hidden binding sites, and support the discovery of new therapeutic opportunities.
Today, MendelFOLD is developing scalable computational tools for drug discovery, biotechnology, and synthetic biology. Our vision is to make advanced protein modelling more accurate, accessible, and useful for researchers, pharmaceutical teams, and innovators working at the frontier of precision medicine. MendelFOLD aims to accelerate discovery, reduce experimental costs, and help unlock treatments for diseases that remain difficult to target.
Our Technology
MendelFold develops technology that helps scientists understand how proteins change shape and how those shape changes affect what proteins do in the body. Starting from a protein sequence, our platform predicts possible structures, identifies how different parts of the protein communicate, and connects those insights to biological pathways. This can help researchers better understand disease mechanisms and discover new ways to design treatments.