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IECata: interpretable bilinear attention network and evidential deep learning improve the catalytic efficiency prediction of enzymes.

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Title: IECata: interpretable bilinear attention network and evidential deep learning improve the catalytic efficiency prediction of enzymes.
Authors: Wang, Jingjing1, Zhao, Yanpeng2,3, Yang, Zhijiang1, Yao, Ge1, Han, Penggang1, Liu, Jiajia1, Chen, Chang1, Zan, Peng4, Wan, Xiukun1, Bo, Xiaochen3, Jiang, Hui1
Source: Briefings in Bioinformatics; May2025, Vol. 26 Issue 3, p1-16, 16p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 186587138
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  Data: IECata: interpretable bilinear attention network and evidential deep learning improve the catalytic efficiency prediction of enzymes.
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  Data: <searchLink fieldCode="JN" term="%22Briefings+in+Bioinformatics%22">Briefings in Bioinformatics</searchLink>; May2025, Vol. 26 Issue 3, p1-16, 16p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186587138
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              Text: May2025
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