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Comprehensive evaluation of artificial intelligence-empowered approaches for protein–aptamer complex prediction.

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Title: Comprehensive evaluation of artificial intelligence-empowered approaches for protein–aptamer complex prediction.
Authors: Zhao, Jiani1, Tram, Kha2, Yan, Hongbin3, Li, Yifeng4
Source: Briefings in Bioinformatics; May2026, Vol. 27 Issue 3, p1-18, 18p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 195128619
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Briefings+in+Bioinformatics%22">Briefings in Bioinformatics</searchLink>; May2026, Vol. 27 Issue 3, p1-18, 18p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=195128619
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      – Type: doi
        Value: 10.1093/bib/bbag206
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 1
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      – TitleFull: Comprehensive evaluation of artificial intelligence-empowered approaches for protein–aptamer complex prediction.
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            NameFull: Zhao, Jiani
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            NameFull: Tram, Kha
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            NameFull: Yan, Hongbin
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            NameFull: Li, Yifeng
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 27
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            – TitleFull: Briefings in Bioinformatics
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