An experimentally validated approach to automated biological evidence generation in drug discovery using knowledge graphs.

Saatviga Sudhahar¹, Bugra Ozer², Jiakang Chang², Wayne Chadwick², Daniel O'Donovan², Aoife Campbell², Emma Tulip², Neil Thompson², Ian Roberts²

¹Healx Ltd, Cambridge, United Kingdom. saatviga.sudhahar@healx.io.

²Healx Ltd, Cambridge, United Kingdom.

PubMed PMC DOI PDF

Abstract

Explaining predictions for drug repositioning with biological knowledge graphs is a challenging problem. Graph completion methods using symbolic reasoning predict drug treatments and associated rules to generate evidence representing the therapeutic basis of the drug. Yet the vast amounts of generated paths that are biologically irrelevant or not mechanistically meaningful within the context of di…

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