A Knowledge-Based Bidirectional Encoder Representation from Transformers to Predict a Paratope Position from a B Cell Receptor's Amino Acid Sequence Alone.
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| Title: | A Knowledge-Based Bidirectional Encoder Representation from Transformers to Predict a Paratope Position from a B Cell Receptor's Amino Acid Sequence Alone. |
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| Authors: | Park, Hyuntae1, Lee, Kwang-Sig2 |
| Source: | Applied Sciences (2076-3417); Sep2025, Vol. 15 Issue 18, p10115, 11p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 188321632 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188321632 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app151810115 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 10115 Titles: – TitleFull: A Knowledge-Based Bidirectional Encoder Representation from Transformers to Predict a Paratope Position from a B Cell Receptor's Amino Acid Sequence Alone. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Park, Hyuntae – PersonEntity: Name: NameFull: Lee, Kwang-Sig IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 09 Text: Sep2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 15 – Type: issue Value: 18 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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