Abstract for Gustavo Caetano-Anollés's talk
Predictive intelligence is a forward-looking strategy that uses past events to anticipate the future. I will report on our efforts to generate predictive intelligence for viral pandemics. Our focus is the evolving COVID-19 virus. The virus continues to represent a worldwide threat despite implementation of public-wide vaccination measures. Analysis of over 12 million genome sequences revealed how viral genetic makeup is being structured by emerging mutant constellations. We found that haplotypes – sets of mutations that are inherited together – were linked to virus seasonality and coalesced into constellations delimiting networks of molecular interactions. We also modelled the changing structure of the ~30 proteins of the COVID-19 genome with powerful deep-learning ab initio structural prediction methods, uncovering a central functional role of protein loop and structural domain regions. Our goal is to develop artificial intelligence and machine learning tools that can be utilized for emergency health security programs.
https://newfrontiers.illinois.edu/news-and-events/tracing-genome-evolution-for-covid-19-predictive-intelligence
Click here to register!
