Scientists at the University of Cambridge have developed a new way to alter complex drug molecules using light rather than toxic chemicals \u2013 a discovery that could accelerate and improve how medicines are designed and made.<\/p>\n
Published today (Thursday 12 March) in\u00a0Nature Synthesis, the study introduces what the team calls an \u201canti-Friedel\u2013Crafts\u201d reaction. A classic Friedel\u2013Crafts reaction uses strong chemicals or metal catalysts under harsh experimental conditions. This means the reaction can only happen in the early stages of drug manufacturing, and is followed by many additional chemical steps to produce the final drug.<\/p>\n
The new Cambridge approach reverses that pattern, allowing scientists to modify drug molecules at the final stages of production.<\/p>\n
Rather than relying on heavy metal catalysts, the chemistry is powered by an LED lamp at ambient temperature. When activated, it triggers a self-sustaining chain process that forges new carbon\u2013carbon bonds under mild conditions and without toxic or expensive chemicals.<\/p>\n
In practical terms, this means chemists can make targeted changes late in the development of a new or existing drug rather than dismantling and rebuilding complex molecules from scratch \u2013 a process that can otherwise take months.<\/p>\n
\u201cWe\u2019ve found a new way to make precise changes to complex drug molecules, particularly ones that have been exceptionally difficult to modify in the past,\u201d said David Vahey, first author and a PhD researcher at St John\u2019s College, Cambridge.<\/p>\n
\u201cScientists can spend months rebuilding large parts of a molecule just to test one small change. Now, instead of doing a multistep process for hundreds of molecules, scientists can start with their hit and make small modifications later on.<\/p>\n
\u201cThis reaction lets scientists make precise adjustments much later in the process, under mild conditions and without relying on toxic or expensive reagents. That opens chemical space that has been hard to access before and gives medicinal chemists a cleaner, more efficient tool for exploring new versions of a drug.\u201d<\/p>\n
Fewer steps mean fewer chemicals, less energy consumption, a smaller environmental footprint and significant time savings for chemists. This highly selective reaction lets scientists make precise adjustments much later in the process. That matters enormously in drug development, where even a minor structural tweak can significantly affect how well a medicine works, how it behaves in the body, or how many side effects it causes.<\/p>\n
\u201cThis is a new way to make a fundamental carbon\u2013carbon bond and that\u2019s why the potential impact is so great\u201d<\/p>\n
The Cambridge breakthrough tackles one of the most fundamental steps in that process: forming carbon\u2013carbon bonds, the links that underpin everything from fuels to complex biomolecules.<\/p>\n
The method is highly selective, meaning it can alter one part of a molecule without disturbing other sensitive regions \u2013 what chemists call \u201chigh functional-group tolerance\u201d. That makes it particularly suited to late-stage optimisation \u2013 a key part of modern medicinal chemistry, where scientists fine-tune molecules to improve how drugs perform.<\/p>\n
By avoiding heavy metal catalysts, hazardous conditions and reducing the need for long synthetic sequences, the reaction could also dramatically cut toxic chemical waste and energy use in pharmaceutical development, which is an increasing priority as the industry seeks to reduce its environmental footprint.<\/p>\n
Vahey is a member of Professor Erwin Reisner\u2019s research group at Cambridge. Reisner\u2019s group is known for developing systems inspired by photosynthesis, using sunlight to convert certain types of waste, water and the greenhouse gas carbon dioxide into useful chemicals and fuels.\u00a0<\/p>\n
Reisner, Professor of Energy and Sustainability in the Yusuf Hamied Department of Chemistry, lead author\u00a0of the paper, said the importance of the\u00a0latest\u00a0work lies in expanding what chemists can do under practical conditions while developing greener manufacturing methods.\u00a0<\/p>\n
\u201cThis is a new way to make a fundamental carbon\u2013carbon bond and that\u2019s why the potential impact is so great. It also means chemists can avoid an undesirable and inefficient drug modification process.\u201d<\/p>\n
The team demonstrated the reaction across a wide range of drug-like molecules and showed it could be adapted to continuous-flow systems increasingly used in industry. Collaboration with AstraZeneca helped test whether the method could meet the practical and environmental demands of large-scale pharmaceutical development.<\/p>\n
\u201cTransitioning the chemical industry to a sustainable industry is arguably one of the most difficult parts of the whole energy transition,\u201d explained Reisner.<\/p>\n
And the breakthrough came from a laboratory setback \u2013 like some of science\u2019s most famous discoveries, from X-rays and penicillin to Viagra and modern weight-loss drugs.<\/p>\n
\u201cFailure after failure, then we found\u00a0something\u00a0we\u00a0weren\u2019t\u00a0expecting in the mess\u00a0\u2013\u00a0a\u00a0real\u00a0diamond in the rough.\u00a0And it is all thanks to a failed control experiment,\u201d Vahey\u00a0said.\u00a0\u00a0<\/p>\n
He had been testing a photocatalyst when he removed it as part of a control test and found the reaction worked just as well, and in some cases better, without it.\u00a0<\/p>\n
At first, the unusual product\u00a0appeared to be\u00a0a mistake. Instead of discarding it, the team decided to understand what it meant.\u00a0Reisner\u00a0said the breakthrough depended not just on chemistry, but on judgement.\u00a0<\/p>\n
\u201cRecognising the value in the unexpected is probably one of the key characteristics of a successful scientist,\u201d he said.\u00a0\u00a0<\/p>\n
\u201cWe\u00a0generate enormous amounts of data, and increasingly we use artificial intelligence to help analyse it.\u00a0We have an algorithm that can predict reactivity. AI helps because we\u00a0don\u2019t\u00a0need chemists to do endless trial and error, but an algorithm will only follow the rules it has been given. It still takes a human being to look at something that appears wrong and ask whether it might\u00a0actually be\u00a0something new.\u201d\u00a0<\/p>\n
\u201cIn the moment, choosing to investigate rather than ignore\u00a0is where discovery happens\u201d\u00a0<\/p>\n
In this case, it was Vahey who recognised its significance and investigated further.<\/p>\n
\u201cDavid could have dismissed it as a failed control,\u201d Reisner said. \u201cInstead, he stopped and thought about what he was seeing. That moment,\u00a0choosing to investigate rather than ignore it,\u00a0is where discovery happens.\u201d\u00a0<\/p>\n
Once the team had mapped the underlying chemistry, they brought in machine-learning models \u2013 developed in collaboration with Trinity College Dublin \u2013 to predict where the reaction would occur on entirely new molecules that had never been tested in the lab.<\/p>\n
By learning the patterns from established chemistry, AI could effectively simulate reactions before they were run, helping researchers identify the most promising candidates faster and with far less trial and error. The result is a tool that doesn’t just work in the lab but could actively help scientists develop new drugs more quickly in the future.<\/p>\n
For Vahey,\u00a0it\u2019s providing researchers with a vital new tool in the toolbox of drug discovery and development.<\/p>\n
He said: \u201cWhat industry and other researchers do with it next \u2013\u00a0that\u2019s\u00a0where the future impact lies.\u00a0For us, the lab is mostly average to bad days.\u00a0The good days are\u00a0very good\u00a0days.\u201d\u00a0<\/p>\n
Reisner added: \u201cAs a chemist, you only need one or two good days a year \u2013 and those can come from a failed experiment.\u201d<\/p>\n
Reference: Vahey DM, Mu M, Bonke SA, et al. Anti-Friedel-Crafts alkylation via electron donor-acceptor photoinitiation. Nat Synth. 2026. doi: 10.1038\/s44160-026-00994-w<\/a><\/p>\n
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