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Multiscale Probabilistic Modeling: A Bayesian Approach to Augment Mechanistic Models of Cell Signaling with Machine-Learning Predictions of Binding Affinity

2025-05-23

Abstract excerpt

Computational models in systems biology are often underdetermined—that is, there is little data relative to the complexity and size of the model. The lack of data is primarily due to limits in our ability to observe specific biological systems and restricts the utility of computational models. However, there are a growing number of experimental databases in biology. While these databases provide more observations,...

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Literature Corpus work
ab1e6c48-a9e7-54f6-acef-bc7120220124
DOI
10.1101/2025.05.23.655795
Open publication

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Multiscale Probabilistic Modeling: A Bayesian Approach to Augment Mechanistic Models of Cell Signaling with Machine-Learning Predictions of Binding AffinityDOI 10.1101/2025.05.23.655795
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