Decoding biological materials from nano to macro to revolutionize technology and medicine
Imagine a material that is stronger than steel, tougher than Kevlar, and yet made at room temperature from simple biological elements. This isn't science fiction—it's the reality of spider silk, just one of the countless biological materials that have evolved over millions of years to achieve extraordinary properties. For centuries, scientists have marveled at nature's ability to create such sophisticated materials from basic building blocks. How does nature achieve what human engineering still struggles to replicate? The answer lies in a revolutionary new field called materiomics—the holistic study of how biological materials are organized across scales from nano to macro, and how this organization gives rise to their remarkable properties 1 .
Materiomics represents a fundamental shift in how we understand biological materials. Rather than examining individual components in isolation, materiomics studies the entire system—from atoms and molecules to tissues and organs—to decipher nature's design principles.
Materiomics examines materials across all scales, from molecular interactions to macroscopic properties, revealing how nature builds complexity from simplicity.
This field integrates biology, materials science, physics, and engineering to create a comprehensive understanding of biological materials.
Materiomics is defined as the holistic study of material systems that examines links between physicochemical properties and material characteristics and function. The term draws its inspiration from genomics—the study of an organism's complete set of DNA—but instead focuses on understanding all the components that make up a material system and how they interact across scales . Just as genomics has revolutionized our understanding of biology, materiomics promises to transform our approach to materials science.
What distinguishes materiomics from traditional materials science is its emphasis on multiscale relationships. Biological materials exhibit organized structures at every scale of observation—from nanometric protein assemblies to macroscopic tissues. At each level, new properties emerge that cannot be predicted by simply studying the individual components in isolation 5 .
Fig. 1: Hierarchical organization of collagen from molecular to tissue scale
"Materiomics is the study of the material properties of natural and synthetic materials by examining fundamental links between processes, structures and properties at multiple scales, from nano to macro." — Markus J. Buehler, MIT
One of the most fascinating aspects of biological materials is their ability to combine seemingly incompatible properties. Engineers often struggle to create materials that are both strong and tough—typically, increasing strength comes at the expense of toughness, and vice versa. Yet biological materials like spider silk, bone, and nacre (mother of pearl) excel at combining these properties 3 .
This remarkable ability stems from their hierarchical structure. At the molecular level, biological materials incorporate mechanisms for energy dissipation that prevent catastrophic failure. For example, in spider silk, the presence of both crystalline regions (providing strength) and amorphous regions (providing extensibility) allows the material to absorb tremendous amounts of energy before breaking 5 . Similarly, in bone, multiple mechanisms operating across scales—from molecular uncoiling to microcrack formation—dissipate energy and prevent fractures from propagating.
An intriguing analogy proposed by materiomics researchers compares biological materials to musical compositions 1 . Just as a limited set of musical notes can be arranged to create everything from simple melodies to complex symphonies, nature uses a limited set of molecular building blocks—amino acids—to create materials with vastly different properties.
The power of the materiomics approach becomes particularly evident when studying diseases that affect biological materials. Osteogenesis imperfecta (OI), commonly known as brittle bone disease, is a genetic disorder that illustrates how tiny molecular defects can lead to catastrophic failure at the tissue level 3 .
OI is caused by mutations in the genes responsible for producing type I collagen. Traditional approaches might focus solely on the genetic mutation or the clinical symptoms, but materiomics connects these scales. Using multiscale computational models, researchers have shown how single-point mutations at the molecular level alter the mechanical properties of collagen fibrils, which in turn affects the overall mechanical competence of bone 3 5 .
| Scale | Healthy Collagen | OI-Affected Collagen | Functional Impact |
|---|---|---|---|
| Molecular | Stable triple helix structure | Unstable triple helix, altered chemistry | Reduced mechanical stability |
| Fibrillar | Regular packing, cross-linking | Irregular packing, reduced cross-linking | Weakened fibrillar strength |
| Tissue | Normal bone mineralization | Altered mineralization patterns | Increased fracture susceptibility |
| Organ | Normal bone mechanical properties | Reduced strength and toughness | Frequent fractures, skeletal deformities |
Table 1: Multiscale Effects of Osteogenesis Imperfecta Mutations
At the molecular level, OI mutations create what materiomics researchers call "nanocracks"—localized regions of weakness where stress concentrations develop. Using computational models, scientists have visualized how these nanocracks become initiation points for failure, ultimately reducing the overall strength of the collagen fibril 3 . This explains why even mild loading conditions can cause fractures in individuals with OI—the safety margins that normal bone provides through its hierarchical organization have been compromised at multiple scales.
To understand how materiomics researchers study biological materials, let's examine a hypothetical but representative experiment based on actual studies of collagen failure 3 5 :
The process begins at the nanoscale, where researchers use molecular dynamics simulations to model how collagen molecules interact. Supercomputers calculate the forces between atoms, simulating how molecular structure changes under mechanical load.
The information from atomistic simulations is used to develop simplified ("coarse-grained") models that capture essential physics without computational expense. These models can simulate larger assemblies of molecules over longer timescales.
At the microscale, researchers use continuum mechanics approaches to model collagen fibrils and fibers. The properties derived from coarse-grained models inform these higher-scale simulations.
Throughout this process, simulations are validated against experimental data from techniques like atomic force microscopy, nanoindentation, and tensile testing of tissues.
The key insight from such multiscale experiments is that failure is not determined at any single scale but emerges from interactions across scales. In the case of collagen, researchers found that:
| Technique | Scale | Resolution | Time Scale | Application Examples |
|---|---|---|---|---|
| Molecular Dynamics | Atomic | 0.1-1 nm | Nanoseconds to microseconds | Protein folding, molecular interactions |
| Coarse-Grained Modeling | Molecular | 1-10 nm | Microseconds to milliseconds | Molecular sliding, self-assembly |
| Finite Element Analysis | Micro to macro | 100 nm - mm | Milliseconds to seconds | Tissue deformation, failure |
| Continuum Mechanics | Macro | >mm | Seconds to hours | Organ-level mechanical behavior |
Table 2: Computational Techniques in Materiomics
Materiomics research relies on a diverse array of specialized reagents and technologies that enable scientists to probe materials across scales:
Recent advances in artificial intelligence are revolutionizing materiomics research. Protein language models—similar to the AI behind ChatGPT—can predict protein structures and functions based on their amino acid sequences 4 . However, these models have traditionally been "black boxes," making it difficult to understand how they arrive at their predictions.
MIT researchers recently developed a technique to open this black box using sparse autoencoders—algorithms that expand how a protein is represented within a neural network 4 . This allows researchers to determine what features the model uses to make predictions, potentially revealing novel biological insights in the process.
Fig. 2: Artificial intelligence accelerating materiomics research through pattern recognition and prediction
The ultimate goal of materiomics is not just to understand biological materials but to reverse-engineer nature's solutions to create new synthetic materials. This approach has already yielded impressive results:
The materiomics approach is particularly valuable for designing biomedical implants and tissue engineering scaffolds. By understanding how natural tissues derive their mechanical properties, researchers can create synthetic substitutes that better integrate with the body and perform their intended functions 8 .
Materiomics also promises to revolutionize medicine through the development of personalized diagnostic tools 8 . Just as genetic testing now allows us to assess disease risk based on DNA sequences, materiomic approaches might eventually predict tissue health based on protein composition and organization.
Researchers are working to develop breath-based diagnostics that detect molecular markers of disease—similar to how automobile exhaust analysis can diagnose engine problems 8 . This approach could lead to non-invasive tests for conditions ranging from oral diseases to cancer.
Materiomics aligns with the broader Materials Genome Initiative, which aims to accelerate materials discovery through advanced scientific computing and innovative design tools 8 . Just as the Human Genome Project revolutionized biology by providing a reference map of human genes, materiomics seeks to create a reference framework for understanding biological and synthetic materials.
Materiomics represents a fundamental shift in how we understand the materials that make up our world and our bodies. By studying how biological systems organize simple components into complex hierarchical structures, we gain not only insight into nature's design principles but also a blueprint for creating the next generation of advanced materials.
As this field advances, it promises to transform everything from medicine to manufacturing, enabling breakthroughs that were previously unimaginable. The materiomics approach reminds us that sometimes the most sophisticated solutions emerge not from increasingly complex components, but from increasingly sophisticated organization of simple elements—a lesson from nature that may hold the key to addressing many of our technological challenges.
"The availability of multifunctional and changeable materials reduces the necessity for the use of different materials to achieve different properties, and as such, may provide significant savings in weight and cost." — Markus J. Buehler
The materiomics revolution is just beginning, but it already offers a powerful framework for understanding—and learning from—nature's magnificent material designs. As we continue to decipher the materiome, we move closer to harnessing nature's wisdom to create a better future.