A convolutional neural network based tool for predicting protein AMPylation sites from binary profile representation.
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| Title: | A convolutional neural network based tool for predicting protein AMPylation sites from binary profile representation. |
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| Authors: | Azim, Sayed Mehedi1 (AUTHOR), Sharma, Alok2,3 (AUTHOR), Noshadi, Iman4 (AUTHOR), Shatabda, Swakkhar1 (AUTHOR) swakkhar@cse.uiu.ac.bd, Dehzangi, Iman5,6 (AUTHOR) i.dehzangi@rutgers.edu |
| Source: | Scientific Reports. 7/6/2022, Vol. 12 Issue 1, p1-7. 7p. |
| Database: | Academic Search Ultimate |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 157836181 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=asn&AN=157836181 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-022-15403-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 1 Titles: – TitleFull: A convolutional neural network based tool for predicting protein AMPylation sites from binary profile representation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Azim, Sayed Mehedi – PersonEntity: Name: NameFull: Sharma, Alok – PersonEntity: Name: NameFull: Noshadi, Iman – PersonEntity: Name: NameFull: Shatabda, Swakkhar – PersonEntity: Name: NameFull: Dehzangi, Iman IsPartOfRelationships: – BibEntity: Dates: – D: 06 M: 07 Text: 7/6/2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 20452322 Numbering: – Type: volume Value: 12 – Type: issue Value: 1 Titles: – TitleFull: Scientific Reports Type: main |
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