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A new photonic effect for accelerated drug discovery

Keeping up with the first law of robotics: A new photonic effect for accelerated drug discovery: Physicists at the University of Bath and University of Michigan demonstrate a new photonic effect in semiconducting nanohelices.

Upon illuminating chiral semiconductor nanoparticles with circularly polarised light (in red), third harmonic Mie scattering light streams out (in blue). Credit: Ventsislav Valev, Kylian Valev and Lukas Ohnoutek

A new photonic effect in semiconducting helical particles with nanoscale dimensions has been discovered by an international team of scientists led by researchers at the University of Bath. The observed effect has the potential to accelerate the discovery and development of life-saving medicines and photonic technologies.

In his Robot series, science-fiction writer Isaac Asimov imagined a future where robots grew into trustworthy companions for humans. These robots were guided by the laws of robotics, the first of which states that ‘a robot may not injure a human being or, through inaction, allow a human being to come to harm’. Thanks to the new photonic discovery, robots may get a chance to prevent humans from coming to harm in a very meaningful way – by greatly speeding up the development of important drugs, such as new antibiotics.

Currently, the World Health Organisation regards antibiotic resistance (the growing ineffectiveness of drugs currently on the market) as one of the top 10 threats to humanity. Moreover, globalisation coupled with human encroachment into wildlife habitats increases the risk of new infectious diseases emerging. It is widely recognised that the cost of discovering and development new drugs for these and other conditions using today’s technology is unsustainable. The need for pharmaceutical research to be accelerated has never been more pressing and it would benefit hugely from the help of artificial intelligence (AI).

Bath Physics professor Ventsislav Valev, who headed the research, said: “Although we are a long way still from Asimov’s positronic robot brains, our latest finding does have the potential to link AI algorithms that analyse chemical reactions and robotic arms that prepare chemical mixtures – a process known as high-throughput screening.”

Meeting the needs of robotised chemistry

High-throughput screening (HTS) is an experimental method that uses robots to discover new drugs. Some labs have adopted it already, to help them analyse vast libraries of molecules. In the future, however, discovering new drugs could happen entirely through HTS. Using this method, robots simultaneously operate a large number of syringes, preparing thousands of chemical mixtures that are then robotically analysed. The results are fed back to AI algorithms, which then determine what mixtures to prepare next, and so on until a useful drug is discovered.

The analytical step is key, since without it, the robots cannot know what they have prepared.

HTS happens on microplates (or tablets) that are about the size of a chocolate bar. Each tablet contains wells into which the chemical mixtures are poured. The more wells found on a tablet, the more chemicals can be analysed in one hit. But though a modern tablet can host thousands of wells, the size of the table does not change.

“To meet the requirements of the emerging robotised chemistry, wells are getting really tiny – too small for current analytical methods,” said Professor Valev. “So, fundamentally new methods are needed to analyse would-be drugs.

“Currently, most new drugs that are entering the market and the majority of old drugs are chiral (their chemical formula lacks mirror symmetry). Therefore it is especially important to be able to measure chirality in tiny volumes of less than 1 mm3 which is about the size of a cube with sides of the thickness of a credit card.”

The effect discovered by the researchers allows chirality to be measured in volumes that are 10,000 times smaller than 1 mm3.

“We have used a very exciting new material developed by our colleagues at the University of Michigan in the US, led by Professor Nicholas Kotov,” explained Professor Valev. “It’s a biomimetic structure (i.e. one that simulates biological phenomena) that chemically assembles into semiconducting helices, at the nanoscale, similarly to the way proteins assemble.”

Professor Kotov said: “Being illuminated with red light, the small semiconductor helices generate new light that is blue and twisted. The blue light is also emitted in a specific direction, which makes it easy to collect and analyse. The trifecta of unusual optical effects drastically reduce the noise that other nanoscale molecules and particles in biological fluids may cause.”

Professor Valev added: “This means that by carefully measuring the blue light, we can ascertain the direction of twist (or chirality) of the structures we’re studying.”

The twist of the nanohelices can change dramatically depending on the kind of biomolecules that were present when these helixes formed, providing a wealth of information about the biological samples.

“Our results open the way for measuring chirality in volumes potentially 10-million times smaller than 1 mm3. Although the structures that we measured so far are much larger than typical pharmaceuticals, we have proven that the physical effect is real, so in principle, applications to molecules and especially drugs are now only a question of technological development. Our next step is to seek funding for this development,” said Professor Valev.

PhD student Lukas Ohnoutek, also involved in the research, said: “In nanotechnology, one of the big challenges is to be able to see the properties of tiny things. Nowadays, this is easy for stationary objects but it’s still hard for an object that freely floats in a liquid.

“It has been extremely gratifying to reduce our volume of study so successfully – we now focus light to a spot that would be invisible to most people’s eyes. And within that volume, we can determine the direction of twist of helices that are much smaller still.”

The research is published in the journal Nature Photonics. It was funded by The Royal Society, the Science and Technology Facilities Council (STFC) and the Engineering and Physical Science Research Council (EPSRC).

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