AI robot helps discover ingredient for anti-malarial drug
Join Our Newsletter - Get important industry news and analysis sent to your inbox – sign up to our e-Newsletter here
X

AI robot helps discover ingredient for anti-malarial drug

23 Jan 2018 (Last Updated January 23rd, 2018 15:47)

An AI-based ‘robot scientist’ called Eve, developed by scientists at the Universities of Manchester, Aberystwyth and Cambridge, has aided researchers in discovering that the toothpaste ingredient triclosan could be used to fight drug-resistant malaria.    

AI robot helps discover ingredient for anti-malarial drug
Until Eve’s discovery, scientists had only proven that triclosan could target the Plasmodium catalyst in the liver stage of malaria-causing parasites. Credit: Ross King, University of Manchester

An AI-based ‘robot scientist’ called Eve, developed by scientists at the Universities of Manchester, Aberystwyth and Cambridge, has aided researchers in discovering that the toothpaste ingredient triclosan could be used to fight drug-resistant malaria.                

The system was programmed to automatically develop and test hypotheses to explain observations and run experiments by using other robotics in the lab.

It could then interpret the results of the experiments and amend the original hypothesis and repeat the cycle.

The significance of Eve’s discovery

Malaria is responsible for half a million deaths a year.

It is caused by parasites of the genus Plasmodium, which are carried by mosquitoes and have several distinct stages in vertebrate hosts.

The only anti-malarials that target all of these stages cause severe side effects.

Triclosan is already known to be safe, as it is an active ingredient in many toothpastes, but until Eve’s discovery, scientists had only proven that triclosan could target the Plasmodium catalyst in the liver stage of the parasite.

Using high-throughput screening, Eve discovered that triclosan can also target the Plasmodium catalyst in the blood stages, even in parasites that have become resistant to available drugs.

The machine learning that the AI-driven robot scientist demonstrated could greatly speed up the drug development process, reduce costs and aid in more discoveries like triclosan.