A new perspective published in Science presents a modular strategy that could change how small molecules are designed, assembled, and discovered, while raising urgent questions about who should be able to access advanced chemical innovation. The approach, called “blocc chemistry,” is designed to make the construction of organic molecules more systematic by joining prefabricated molecular building blocks through repeated carbon–carbon bond-forming reactions. Developed and advanced by Martin D. Burke, the May and Ving Lee Professor for Chemical Innovation at the University of Illinois Urbana-Champaign and founding director of the Molecule Maker Lab at the Beckman Institute, the method is intended to move synthesis away from a craft practiced primarily by highly specialized experts and toward a platform that can be automated, programmed, and potentially used by a much broader community.
For nearly two centuries, organic synthesis has depended on the ability of chemists to plan complex sequences of reactions, select compatible reagents, control sensitive conditions, purify intermediate compounds, and interpret the results at every stage. That expertise remains essential for many forms of molecular research, but it also creates a bottleneck. A promising molecule can take weeks, months, or even years to produce, particularly when its structure requires a long sequence of individually optimized reactions. Blocc chemistry addresses this challenge by treating molecular construction more like an assembly process. Instead of designing every synthesis from scratch, researchers use standardized “bloccs,” or molecular building units, that are engineered to connect through predictable reactions. The goal is not simply to make one molecule more efficiently, but to create a general system capable of producing large families of related structures.
The central technical feature of the approach is the iterative formation of carbon–carbon bonds. Carbon–carbon connections form the structural framework of most organic compounds, including pharmaceuticals, polymers, dyes, electronic materials, and natural products. In conventional synthesis, forming each of these bonds may require a different reaction strategy, and the order of the steps can determine whether the entire process succeeds. Blocc chemistry seeks to standardize the connection process so that one building block can be attached to another, followed by repeated cycles of assembly. In principle, the same basic workflow can generate a diverse molecular library by varying the sequence and identity of the bloccs. This modularity could make synthesis easier to automate because a robotic system would not need to reinvent the chemistry for every target.
That possibility is particularly important for robotic laboratories. Automated platforms can dispense reagents, control reaction conditions, isolate products, and repeat predefined operations with a consistency that is difficult to achieve manually. When the chemical reactions themselves are modular, a robot can be instructed to build many different molecular structures using a shared set of operations. The resulting system could rapidly explore chemical space, the enormous universe of possible molecular arrangements and properties. Rather than testing a small number of compounds selected by intuition alone, researchers could generate and evaluate hundreds or thousands of related candidates. Such an approach may accelerate the search for molecules that absorb or emit light, conduct electricity, resist heat, interact with biological targets, or perform other useful functions.
The Molecule Maker Lab has already used related capabilities to support the discovery of functional materials, including organic laser emitters and durable materials for organic solar cells. These examples illustrate why the approach has attracted interest beyond synthetic chemistry. Organic laser emitters, for instance, must combine carefully tuned electronic structures with stability and efficient light emission. Materials used in solar cells must absorb light, transport electrical charges, and remain functional under demanding conditions. Small structural changes can dramatically alter these properties, yet predicting the effect of each change is difficult. A modular synthesis platform can provide the experimental data needed to identify those relationships. By making and testing systematic series of molecules, scientists can learn which structural features produce desirable behavior and which lead to instability or poor performance.
This growing flow of standardized molecular data could also strengthen artificial intelligence in chemistry. AI models are only as useful as the data used to train them, and chemical datasets are often fragmented, uneven in quality, or biased toward compounds that have already received attention. Automated blocc assembly could produce collections in which the structures, reaction histories, and measured properties are recorded in a consistent format. Machine-learning systems could then search for patterns linking molecular architecture to performance and suggest new combinations for experimental testing. The most powerful version of this cycle would connect prediction, robotic synthesis, measurement, and model improvement in a continuous loop. An algorithm would propose candidates, an automated laboratory would make them, instruments would measure their properties, and the results would refine the next round of predictions.
Burke argues that the implications extend beyond professional laboratories. Because blocc chemistry is intended to simplify and standardize key stages of molecular construction, it could eventually allow students, citizen scientists, and nonspecialists to participate in forms of molecular innovation that currently require years of specialized training. This prospect has an unusually broad appeal: the same infrastructure could be used to search for medicines addressing unmet medical needs, materials for sustainable energy technologies, improved coatings and plastics, or molecules with applications in everyday consumer products. Democratizing discovery could bring new ideas from communities that are underrepresented in conventional research. It could also make education more experimental, allowing learners to explore how molecular structure influences function through guided, real-world investigations rather than relying only on textbooks and simulations.
Yet the same accessibility that could expand beneficial discovery also creates risks. Molecules can have biological activity, environmental persistence, toxicity, or other properties that are difficult to recognize before they are synthesized and tested. A system that makes molecular experimentation faster and more accessible must therefore be accompanied by safeguards designed into the technology from the beginning. In the Science perspective, Burke points to existing biosecurity and biosafety initiatives as possible models for responsible governance. Proposed measures include centralized monitoring of automated synthesis, algorithmic screening for potentially dangerous molecular structures, restricted access to sensitive capabilities, and independent audits of how safety rules are applied. Such protections would need to balance openness and scientific collaboration with the prevention of misuse, while also addressing privacy, accountability, environmental disposal, and the responsible communication of results.
To advance that conversation, the Molecule Maker Lab has announced the formation of an international task force focused on the governance of democratized molecular innovation. The group is expected to bring together specialists in chemistry, artificial intelligence, medicine, industry, science education, and related fields, as well as students and community members. Its purpose is to develop safeguards prospectively, before the technology becomes widespread, rather than waiting for harmful incidents to reveal gaps in oversight. The task force is expected to begin its first discussions in August 2026 and produce a consensus report in early 2027. The initiative reflects a broader shift in scientific culture: technical breakthroughs are increasingly being evaluated not only by what they make possible, but also by how responsibly their benefits and risks can be distributed.
The perspective, titled “Bonding Carbons Iteratively,” places blocc chemistry within that larger transformation of molecular science. If its promise is realized, chemical discovery could become more modular, data-rich, and compatible with autonomous experimentation, allowing researchers to explore molecular possibilities at a scale that traditional workflows cannot easily match. The technology will not eliminate the need for expert chemists; interpreting results, validating safety, understanding mechanisms, and deciding which discoveries matter will remain deeply human tasks. But by reducing repetitive barriers to synthesis, it could let scientists devote more time to questions of function, impact, and design. The coming years will show whether automated molecular assembly can deliver a new generation of medicines and materials while meeting the equally important challenge of ensuring that the power to make new molecules is used safely.
Subject of Research: Modular and automated molecular synthesis using iterative carbon–carbon bond formation, with applications in medicines, materials, artificial intelligence, and responsible innovation.
Article Title: Bonding Carbons Iteratively
News Publication Date: 20-Aug-2026
Web References: https://doi.org/10.1126/science.aeg5569
References: Martin D. Burke, “Bonding Carbons Iteratively,” Science, DOI: 10.1126/science.aeg5569.
Image Credits: Molecule Maker Lab
Keywords
Blocc chemistry, carbon–carbon bond formation, automated synthesis, molecular discovery, robotic chemistry, artificial intelligence, chemical innovation, organic materials, medicines, solar cell materials, molecular assembly, chemical safety, biosecurity, Molecule Maker Lab
