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How Linz researchers want to accelerate drug development

How Linz researchers want to accelerate drug development
Günter Klambauer
Image: JKU
Elisabeth Rumetshofer JKU University Linz researcher
Elisabeth Rumetshofer
Image: Private
Ana Sanchez JKU University Linz researcher
Ana Sanchez
Image: Private

Chemical agents change cells and how they look. With an intelligent image search engine you can predict which chemicals you need to trigger a certain effect, report researchers at the University of Linz. She can also find out which chemicals caused a certain cell appearance. They report this in a study published in the journal “Nature Communications”.

A team led by Günter Klambauer from the Institute for Machine Learning at the University of Linz developed the corresponding intelligent algorithm. The researchers named the intelligent bioimage search engine “CLOOME” (Contrastive Learning and leave-One-Out-boost for Molecule Encoders). If you have an active ingredient that changes cells in a certain way, you can use the image of the cells in a chemical database to search for other substances that may have a similar effect, they explain in the specialist publication. Conversely, CLOOME can be used to predict possible biological effects for chemical structures whose effects on cells are currently unknown.

Elisabeth Rumetshofer JKU University Linz researcher
Elisabeth Rumetshofer
Image: Private

“This makes it easier to identify drugs with similar effects, to discover new areas of application for existing drugs and to predict the biochemical effects and properties of new drugs,” say Ana Sanchez and Elisabeth Rumetshofer (both University of Linz). “CLOOME therefore has the potential to significantly accelerate drug development.”

Ana Sanchez JKU University Linz researcher
Ana Sanchez
Image: Private

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