Life transforms information into form.
Genes, regulatory networks, physical constraints and environmental signals interact across multiple scales to generate cells, tissues and organisms. Yet the principles by which biological systems convert regulatory information into observable morphology remain poorly understood.
Foldomics is the study of how living systems fold regulatory information into form.
Rather than focusing exclusively on genes, molecules or phenotypes, Foldomics seeks to understand the processes through which biological information becomes organized structure across multiple scales of living systems.
Most biological research focuses either on molecular mechanisms or on large-scale phenotypes.
Foldomics focuses on the intermediate domain where regulatory processes become organized structures and emerging forms.
This mesoscopic perspective seeks to bridge molecular regulation, morphogenesis and tissue organization, providing a conceptual framework for understanding how information is transformed into biological architecture.
Mesoscopic Biology
Theoretical and computational investigations of intermediate organizational levels linking regulatory information, morphogenesis and tissue architecture.
Evoscope v0.9.1
A computational framework designed to explore how multicellular organization emerges from interactions between regulatory states, environmental context and spatial dynamics.
Artificial Intelligence for Biological Discovery
The application of machine learning and computational intelligence to uncover patterns, representations and principles governing biological organization across scales.
Our long-term goal is to contribute to a scientific framework capable of describing how biological information becomes biological form.
Ultimately, Foldomics seeks to establish a conceptual bridge between regulation, organization and morphology, enabling a deeper understanding of how living systems generate structure across scales.