27 Feb 2020

THE LANCET

Authors: Peter Richardson, Ivan Griffin, Catherine Tucker, Dan Smith, Olly Oechsle, Anne Phelan, Justin Stebbing

Abstract

Earlier this month we published research in The Lancet in which we identified and analysed data on several drugs, of which baricitinib was the most promising. Baricitinib is an already approved drug which is predicted to inhibit the COVID19 infection of human cells. To take this work further in a short timescale, a necessity in a global health emergency, we re-examined the affinity and selectivity of all the approved drugs in our knowledge graph to identify those with both anti-viral and anti-inflammatory properties. This research found combinations of baricitinib with the directly acting antivirals currently being used in the COVID-19 outbreak could reduce viral infectivity, virus replication and also the aberrant host inflammatory response. The use of an AI-driven knowledge graph facilitated this rapid response.


Back to publications

Latest publications

01 May 2024
Journal of Biomedical Semantics, volume 15, Article number: 5 (2024)
Elucidating the Semantics-Topology Trade-off for Knowledge Inference-Based Pharmacological Discovery
Read more
12 Oct 2023
Translational Neurodegeneration. 2023; 12: 47
Janus kinase inhibitors are potential therapeutics for amyotrophic lateral sclerosis
Read more
09 Oct 2023
FRONTIERS IN GENETICS
Learning the kernel for rare variant genetic association test
Read more