Health
Epitopes.world uses AI to predict COVID-19 vaccine success
A team of researchers at Harvard and the University of Montreal are launched today Epitopes.worldAI-powered interactive platform designed to facilitate COVID-19 (New Coronavirus Infection) (# If there is no character limit, add parentheses when first appearing Vaccine development. It builds on an algorithm (CAMAP) that generates predictions of potential vaccine targets, researchers have identified which parts of the virus are likely to be exposed on the surface (epitope) of infected cells. You will be able to.
Project Lead Dr. Tariq Dauder hopes the platform will reduce the time and money it takes to create vaccine candidates with a PhD in machine learning, immunobiologists and bioinformatics to build Epitopes.world. I am. Less than 12% of all drugs in clinical trials eventually arrive at a pharmacy, and it takes at least 10 years for a drug to complete its journey from discovery to market. According to US drug research and manufacturers, clinical trials alone average 6 to 7 years, with R & D costs of around $ 2.6 billion.
CAMAP developed while Daouda received his PhD. Initially applied to cancer immunotherapy at the University of Montreal. However, its suitability for learning immune system patterns has made it an ideal fit for revealing weaknesses in the virus.
“The COVID-19 pandemic underscores the need to accelerate the design of vaccines and therapies to reduce the human and economic consequences of global pandemics,” Daouda said in a statement. “Infected person COVID-19 (New Coronavirus Infection) (# If there is no character limit, add parentheses when first appearing Tend to have [fewer] Immune cells. It is difficult to obtain enough infected cells to properly study in the laboratory. Labs are competing with each other to get them because they are so rare. “
Epitopes.world itself does not synthesize vaccine candidates, but its predictions can be used to generate a list of epitope targets to test. The trained CAMAP model utilizes a dataset of 1.5 million candidate epitopes and their metadata. This includes approximately 900,000 from SARS-COVID-2 and SARS-COVID-1 (two variants of coronavirus) and 600,000 from a normal human sequence. It’s hosted on ArangoDB’s Oasis service.
To this end, a recent preprinted paper published by researchers at NEC OncoImmunity and NEC Laboratories Europe describes a study to identify COVID-19 vaccine candidates from epitopes. The team Diversion A CAMAP-like algorithm analyzes COVID-19 sequences and isolates the epitope with the optimal immune response. It is believed that this will inform both current and future strain outbreaks.
“Epitopes.world puts code in a petri dish—using open source technology to connect machine learning to biomedical, accelerating learning and discovery,” Daouda said.
Epitopes.world — which also provides visualizations that researchers can use to plot results and study them further — is available on GitHub. Public APIs are available and the Daouda team will introduce new tools in the future.
In addition to ArangoDB, Digital Ocean, Explor.ai, and Slack are listed as sponsors. Both ArangoDB and Digital Ocean promise their projects free cloud hosting and database management.
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