Predicting the structure of unexplored novel fentanyl analogues by deep learning model.
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| Title: | Predicting the structure of unexplored novel fentanyl analogues by deep learning model. |
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| Authors: | Zhang, Yuan1 (AUTHOR), Jiang, Qiaoyan2 (AUTHOR), Li, Ling3 (AUTHOR), Li, Zutan4 (AUTHOR), Xu, Zhihui5 (AUTHOR), Chen, Yuanyuan6 (AUTHOR), Sun, Yang2 (AUTHOR), Liu, Cheng7 (AUTHOR), Mao, Zhengsheng8 (AUTHOR), Chen, Feng2 (AUTHOR), Li, Hualan9 (AUTHOR), Cao, Yue10 (AUTHOR) piancong@njau.edu.cn, Pian, Cong11 (AUTHOR) piancong@njau.edu.cn |
| Source: | Briefings in Bioinformatics. Nov2022, Vol. 23 Issue 6, p1-13. 13p. |
| Database: | Academic Search Ultimate |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 160444970 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting the structure of unexplored novel fentanyl analogues by deep learning model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Yuan%22">Zhang, Yuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jiang%2C+Qiaoyan%22">Jiang, Qiaoyan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Ling%22">Li, Ling</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Zutan%22">Li, Zutan</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xu%2C+Zhihui%22">Xu, Zhihui</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Yuanyuan%22">Chen, Yuanyuan</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sun%2C+Yang%22">Sun, Yang</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Cheng%22">Liu, Cheng</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mao%2C+Zhengsheng%22">Mao, Zhengsheng</searchLink><relatesTo>8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Feng%22">Chen, Feng</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Hualan%22">Li, Hualan</searchLink><relatesTo>9</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cao%2C+Yue%22">Cao, Yue</searchLink><relatesTo>10</relatesTo> (AUTHOR)<i> piancong@njau.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Pian%2C+Cong%22">Pian, Cong</searchLink><relatesTo>11</relatesTo> (AUTHOR)<i> piancong@njau.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Briefings+in+Bioinformatics%22">Briefings in Bioinformatics</searchLink>. Nov2022, Vol. 23 Issue 6, p1-13. 13p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=160444970 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/bib/bbac418 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1 Titles: – TitleFull: Predicting the structure of unexplored novel fentanyl analogues by deep learning model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Yuan – PersonEntity: Name: NameFull: Jiang, Qiaoyan – PersonEntity: Name: NameFull: Li, Ling – PersonEntity: Name: NameFull: Li, Zutan – PersonEntity: Name: NameFull: Xu, Zhihui – PersonEntity: Name: NameFull: Chen, Yuanyuan – PersonEntity: Name: NameFull: Sun, Yang – PersonEntity: Name: NameFull: Liu, Cheng – PersonEntity: Name: NameFull: Mao, Zhengsheng – PersonEntity: Name: NameFull: Chen, Feng – PersonEntity: Name: NameFull: Li, Hualan – PersonEntity: Name: NameFull: Cao, Yue – PersonEntity: Name: NameFull: Pian, Cong IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 14675463 Numbering: – Type: volume Value: 23 – Type: issue Value: 6 Titles: – TitleFull: Briefings in Bioinformatics Type: main |
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