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AI Algorithm can Help Predict Bacterial Infections, Develop New Treatments
Written by AZoRoboticsMar 12 2021
A better understanding of how bacterial proteins function together as a network to take control of human cells could help estimate the outcomes of infections and design novel treatments.
Image Credit: Pashkova/shutterstock.com
Salmonella and
E. coli, are similar to how a hacker takes control of an organization’s software to create chaos. These microorganisms use tiny molecular syringes to administer their own chaos-inducing agents (known as effectors) inside the cells that keep the human gut healthy.
Such effectors seize control of the human cells, which overwhelm their defense systems and inhibit the crucial immune responses, thus enabling the infection to take hold.
11 March 2021
Insights into how bacterial proteins work as a network to take control of our cells could help predict infection outcomes and develop new treatments.
Much like a hacker seizes control of a company’s software to cause chaos, disease-causing bacteria, such as E. coli and Salmonella, use miniature molecular syringes to inject their own chaos-inducing agents (called effectors) into the cells that keep our guts healthy.
These effectors take control of our cells, overwhelming their defences and blocking key immune responses, allowing the infection to take hold.
The data represent a breakthrough in our understanding of the mechanisms of bacterial infections and host responses. Professor Gad Frankel