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A multiscale, Bayesian inference approach to augment mechanistic models of cell signaling with machine-learning predictions of binding affinity.

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Title: A multiscale, Bayesian inference approach to augment mechanistic models of cell signaling with machine-learning predictions of binding affinity.
Authors: Huber, Holly A.1 (AUTHOR), Finley, Stacey D.1,2,3 (AUTHOR) sfinley@usc.edu
Source: PLoS Computational Biology. 6/5/2026, Vol. 22 Issue 6, p1-20. 20p.
Database: Academic Search Ultimate
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  Data: A multiscale, Bayesian inference approach to augment mechanistic models of cell signaling with machine-learning predictions of binding affinity.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 6/5/2026, Vol. 22 Issue 6, p1-20. 20p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194373179
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        Value: 10.1371/journal.pcbi.1014321
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              Text: 6/5/2026
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