
Impressed by the way in which viruses connect to cells, EPFL scientists have developed a technique for engineering ultra-selective aptamers.
Aptamers are brief segments of DNA or RNA which are designed to bind, like antibodies, to particular targets. Artificial and cheap to supply, aptamers are engaging alternate options to antibodies for biomedical diagnostics and therapeutics.
When new aptamer binders are wanted, for instance, to detect a new virus, they’re developed from libraries of hundreds of thousands of nucleic acid sequences from which one of the best matches for a given goal are chosen and amplified.
Till now, such libraries contained solely monovalent binders: sequences that bind to 1 web site on a goal molecule. However this contrasts with the construction of many real-world proteins, together with the SARS-CoV-2, influenza, and HIV spike proteins. These constructions, which viruses use to contaminate cells, are comprised of three equivalent subunits presenting three potential binding websites.
Sadly, utilizing monovalent binders for these three-unit (trimeric) complexes is hit-or-miss. The truth is, Maartje Bastings, head of the Programmable Biomaterials Lab in EPFL’s College of Engineering, compares it to “throwing a bowl of spaghetti on the wall, as ‘one thing’ will definitely stick ‘someplace.'”
Bastings explains, “You possibly can’t management the place a monovalent binder interacts with its goal: for instance, it might bind to the aspect of a protein, slightly than the binding interface, lowering its performance. In different phrases, you possibly can’t select the spot on the wall the place a sure spaghetti noodle will stick. So, we thought: would not it’s higher to pre-organize our library for binders that match a goal’s precise geometry? And this strategy seems to be magically efficient.”
Bastings and her crew report the primary method for producing multimeric aptamers, which goal protein complexes with unprecedented precision and performance. The binders developed with the lab’s strategy, dubbed MEDUSA (Multivalent Advanced DNA-based SUpramolecular Assemblies), yield binding affinities which are between 10 and 1,000 occasions stronger than these achieved with monovalent binders. Along with being stronger, in addition they turned out to be far more selective, which is vital for diagnostics.
The analysis has been printed in Nature Nanotechnology.
A bioinspired strategy
The important thing to creating trimeric binders is the scaffold: a molecular construction round which three binding models naturally assemble. Of their experiments, the researchers developed their scaffold primarily based on the geometry of the SARS-CoV-2 spike protein.
By including these tailor-made scaffolds to their aptamer library, the crew was capable of bias the sequence house towards trimeric candidates that may bind functionally to the goal interface proper from the beginning.
“We’ve retro-engineered the pure paradigm seen in viruses, by which multivalent molecular complexes co-evolve, and translated it into a brand new binder discovery technique that enables us to pick out multivalent binders that may block such viruses,” summarizes Ph.D. scholar and first creator Artem Kononenko.
As soon as a primary batch of binders is recognized, candidates with rising affinity for his or her goal are developed by way of an iterative strategy of choice and amplification known as “evolution.”
Though designing new scaffolds can take a matter of hours, the evolution course of can take weeks. Wanting forward, the analysis crew goals to shorten this timeframe to higher swimsuit the wants of biomedical diagnostics and therapeutics.
One other objective is to develop multimeric binders concentrating on pathogens with much more advanced configurations, like Dengue fever (six binding subunits) or anthrax (seven).
“Finally, we need to use this new multivalent sequence house to coach generative synthetic intelligence fashions to do that for us,” Bastings says.
Extra info:
Kononenko, A. et al. Evolution of multivalent supramolecular assemblies of aptamers with target-defined spatial group, Nature Nanotechnology (2025). DOI: 10.1038/s41565-025-01939-8
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Ecole Polytechnique Federale de Lausanne
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