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

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Bibliographic Details
Title: Multiscale Probabilistic Modeling: A Bayesian Approach to Augment Mechanistic Models of Cell Signaling with Machine-Learning Predictions of Binding Affinity.
Authors: Huber HA; Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA., Finley SD; Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA.; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.; Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA 90089, USA.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2025 Jul 09. Date of Electronic Publication: 2025 Jul 09.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2692-8205
DOI:10.1101/2025.05.23.655795