Bayesian Estimation of Muscle Mechanisms and Therapeutic Targets Using Variational Autoencoders.

ABSTRACT: Cardiomyopathies, often caused by mutations in genes encoding muscle proteins, are traditionally treated by phenotyping hearts and addressing symptoms post irreversible damage. With advancements in genotyping, early diagnosis is now possible, potentially introducing earlier treatment. However, the intricate structure of muscle and its myriad proteins make treatment predictions challenging. Here we approach the problem of estimating therapeutic targets for a mutation in mouse muscle using a spatially explicit half sarcomere muscle model. We selected 9 rate parameters in our model linked to both small molecules and cardiomyopathy-causing mutations. We then randomly varied these rate parameters and simulated an isometric twitch for each combination to generate a large training dataset. We use

SUBMITTER: Tune T 

PROVIDER: S-EPMC11100674 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature