Web: http://arxiv.org/abs/2206.08336

June 17, 2022, 1:11 a.m. | Zheng Dai, David Gifford

cs.LG updates on arXiv.org arxiv.org

Advances in machine learning have enabled the prediction of immune system
responses to prophylactic and therapeutic vaccines. However, the engineering
task of designing vaccines remains a challenge. In particular, the genetic
variability of the human immune system makes it difficult to design peptide
vaccines that provide widespread immunity in vaccinated populations. We
introduce a framework for evaluating and designing peptide vaccines that uses
probabilistic machine learning models, and demonstrate its ability to produce
designs for a SARS-CoV-2 vaccine that outperform …

arxiv bio design optimization vaccine

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