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Predicting protein–carbohydrate binding sites: a deep learning approach integrating protein language model embeddings and structural features.

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Bibliographic Details
Title: Predicting protein–carbohydrate binding sites: a deep learning approach integrating protein language model embeddings and structural features.
Authors: Nafi, Md Muhaiminul Islam1 (AUTHOR), Rahman, M Saifur2 (AUTHOR)
Source: Briefings in Bioinformatics. Jan2026, Vol. 27 Issue 1, p1-24. 24p.
Database: Business Source Ultimate
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Header DbId: bsu
DbLabel: Business Source Ultimate
An: 192809193
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Predicting protein–carbohydrate binding sites: a deep learning approach integrating protein language model embeddings and structural features.
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  Data: <searchLink fieldCode="AR" term="%22Nafi%2C+Md+Muhaiminul+Islam%22">Nafi, Md Muhaiminul Islam</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rahman%2C+M+Saifur%22">Rahman, M Saifur</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Briefings+in+Bioinformatics%22">Briefings in Bioinformatics</searchLink>. Jan2026, Vol. 27 Issue 1, p1-24. 24p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=192809193
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        Value: 10.1093/bib/bbag008
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      – Code: eng
        Text: English
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        PageCount: 24
        StartPage: 1
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      – TitleFull: Predicting protein–carbohydrate binding sites: a deep learning approach integrating protein language model embeddings and structural features.
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            NameFull: Nafi, Md Muhaiminul Islam
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              Text: Jan2026
              Type: published
              Y: 2026
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