GlobalData says AI holds significant promise for biopharmaceutical companies to expedite the drug repurposing process.
Artificial intelligence is the go-to engine for research breakthroughs. Applying machine learning tools, from topological data analysis to matrix factorisation, can allow enormous quantities of data to be crunched and drugs that are already in the field have enormous quantities of data, both from development and years of therapeutic use.
Longevity.Technology: Science is racing to find both curative and preventative measures in the battle against COVID-19. Drug repurposing is a key strategy as the drugs have already been validated for patient safety and side effects, and have a raft of data that can be mined for additional potential benefits. Speed and efficient is key in the fight against a virus that has infected over 22 million people worldwide and caused more than 780,000 deaths [1].
The Innovation Explorer database of GlobalData’s Disruptor Intelligence Center claims that AI startups are assisting in the identification of suitable molecules that target COVID-19, reasoning that this enables the biopharmaceutical industry to repurpose existing and already approved drugs to treat COVID-19.
“… AI technologies allow companies to significantly shorten the preclinical drug identification and design process from several years to a few days or months.”
Venkata Naveen, Senior Disruptive Tech Analyst at GlobalData, comments: “Typically developing a new drug takes almost a decade and costs anywhere between US$2-US$3bn. But now biopharmaceutical companies are in dire need to accelerate the entire drug development process given that COVID-19 cases and deaths are mounting every day. Under these circumstances, AI technologies allow companies to significantly shorten the preclinical drug identification and design process from several years to a few days or months [2].”
GlobalData have explored this trend in several companies.
BenevolentAI
London-based BenevolentAI used its AI-based drug discovery platform to identify drugs that could disrupt certain viral entry pathways of COVID-19, thus inhibiting the replication process. Researchers screened inhibitors of AP2-associated protein kinase 1 (AAK1).
AAK1 is a known regulator of endocytosis and its disruption may inhibit the entry of the virus into cells. In a process that took just three days to complete, over 370 AAK1 inhibitors were identified, 47 of which are approved for use, with six showing the most promise. This included baricitinib, currently marketed by Eli Lilly as Olumiant to treat rheumatoid arthritis in adults, as a potential treatment candidate for COVID-19.
The startup extracts new hypothesis by employing AI to its knowledge graphs, which establishes billions of machine curated relationships between diseases and drugs. Eli Lilly initiated a Phase III randomised controlled trial of baricitinib in 400 hospitalised adults with COVID-19 in the US, Europe and Latin America. The National Institute of Allergy and Infectious Diseases (NIAID) is also running a study of baricitinib with remdesivir in the second phase of the Adaptive COVID-19 Treatment Trial (ACTT-2).
Elix
Japanese startup Elix harnessed a variety of neural networks to predict the chemical properties of molecules that can help to destroy COVID-19. The startup’s AI tool screened a library of 350 million drug-like molecules to find potential drugs to treat COVID-19. Among the drug candidates identified by Elix’s AI tool was remdevisir, which recently received emergency use authorisation from the FDA to treat COVID-19 patients.
Gero
Singapore’s Gero leveraged AI to quickly screen already existing drug molecules to treat COVID-19. Some of the identified drugs that are potentially effective include niclosamide, nitazoxanide, afatinib and reserpine. The startup is currently exploring partnerships with pharma companies and research institutes for the commercial development and immediate start of clinical trials of the identified drug molecules.
“… The COVID-19 crisis has propelled the interest of venture capital firms in AI startups due to their potential to accelerate the process of finding new therapies.”
In addition, Global Data state that startups such as Repurpose.AI and Atomwise are actively forging partnerships with global research institutes to use their AI-powered predictive models to find new drug molecules for the treatment of COVID-19.
Naveen concludes: “AI startups are helping pharma companies to digitally bridge the gap between thousands of repurposed drug molecules, clinical trials and final drug authorisation. The COVID-19 crisis has propelled the interest of venture capital firms in AI startups due to their potential to accelerate the process of finding new therapies. For example, Atomwise, Gero, Insitro and Exscientia have all raised hefty sums in various stages of funding in the first two quarters of 2020.”
[1] https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
[2] https://bit.ly/2EjyRpu
