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Overcoming extrapolation challenges of deep learning by incorporating physics in protein sequence-function modeling.

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Title: Overcoming extrapolation challenges of deep learning by incorporating physics in protein sequence-function modeling.
Authors: Barethiya, Shrishti1 (AUTHOR), Huang, Jian1 (AUTHOR), Stumpf, Clarice1 (AUTHOR), Liu, Xiao2 (AUTHOR), Guan, Hui2 (AUTHOR), Chen, Jianhan1 (AUTHOR) jianhanc@umass.edu
Source: PLoS Computational Biology. 3/25/2026, Vol. 22 Issue 3, p1-23. 23p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 3/25/2026, Vol. 22 Issue 3, p1-23. 23p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192513769
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        Value: 10.1371/journal.pcbi.1013728
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              Text: 3/25/2026
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              Y: 2026
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