We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App





Scientists Use Cloud-Based Supercomputing and AI to Develop COVID-19 Treatments and Vaccine Models

By HospiMedica International staff writers
Posted on 16 Sep 2020
Print article
Image: Covax-19 (Photo courtesy of Vaxine Pty Ltd.)
Image: Covax-19 (Photo courtesy of Vaxine Pty Ltd.)
A team of scientists from a vaccination biotech company have used cloud-based supercomputing and artificial intelligence (AI) to develop COVID-19 treatments and vaccine models.

The research team from Vaxine Pty Ltd. (Adelaide, Australia) used computer modelling on the coronavirus spike protein to rapidly design a synthetic COVID-19 vaccine. The Vaxine team was able to design, manufacture and advance their Covax-19 vaccine into human trials in under five months in a process that normally would take up to 15 years. The team is also using similar techniques for other projects, including a new treatment for respiratory complications of COVID-19, a preventive nasal spray, and a rapid response test to predict how severely the disease will progress.

Recently, the Vaxine research group released a list of up to 80 new potential candidate drugs against the COVID-19 virus. The possible therapies were identified using cloud-based supercomputer programs used by Vaxine in its vaccination research modelling, allowing other researchers to further investigate their potential. Using the genetic sequence of COVID-19, the team built three dimensional molecular structures of key COVID-19 proteins that were then used to screen existing drugs and natural remedies for potential activity against the COVID-19 protease protein. The team used high performance cloud computing services provided by Oracle under a research grant to Flinders University (Adelaide, South Australia) that enabled the team to rapidly screen for potential drugs against COVID-19.

“Thanks to our unique ability to run computer simulations on the virus before it is even fully characterized, we were able to dramatically speed up the ability to design our Covax-19 vaccine,” said Flinders University Professor Nikolai Petrovsky, Research Director of Vaxine. “The vaccine based on the synthetic spike protein was then manufactured in insect cell cultures before being combined with our Vaxine Advax adjuvant, which is used to turbocharge the vaccine and make it more effective.”

“It is exciting to be at the forefront of global COVID-19 science efforts, applying all the latest cutting edge methods including artificial intelligence and high performance cloud computing to create potential pandemic drugs and vaccines as part of the Vaxine team,” said Dr. Sakshi Piplani, who leads Vaxine’s bioinformatics team.

Related Links:
Vaxine Pty Ltd.
Flinders University


New
Gold Member
X-Ray QA Meter
T3 AD Pro
Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
Silver Member
Compact 14-Day Uninterrupted Holter ECG
NR-314P
New
Folding Portering Chair
MR4500

Print article

Channels

Critical Care

view channel
Image: The human-centered AI tool aims to improve sepsis management (Photo courtesy of 123RF)

Human-Centered AI Tool Predicts Patient’s Sepsis Risk Within Four Hours

Sepsis, a critical and life-threatening response to infection, can quickly lead to organ failure and is highly difficult to diagnose due to its common symptoms such as fever, low blood pressure, and increased... Read more

Patient Care

view channel
Image: The portable, handheld BeamClean technology inactivates pathogens on commonly touched surfaces in seconds (Photo courtesy of Freestyle Partners)

First-Of-Its-Kind Portable Germicidal Light Technology Disinfects High-Touch Clinical Surfaces in Seconds

Reducing healthcare-acquired infections (HAIs) remains a pressing issue within global healthcare systems. In the United States alone, 1.7 million patients contract HAIs annually, leading to approximately... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The LEX 5-minute diagnostics platform provides an answer faster and with less hands-on effort than any existing product on the market (Photo courtesy of LEX Diagnostics)

5-Minute Multiplex PCR Testing System to Redefine Point-Of-Care Diagnostics

Point of care (POC) testing provides significant clinical benefits, particularly when results can be obtained quickly enough to inform clinical decisions during a single consultation, eliminating the need... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.