View in EDS HTML Full Text PDF Full Text

Improving drug discovery with a hybrid deep generative model using reinforcement learning trained on a Bayesian docking approximation.

Saved in:
Bibliographic Details
Title: Improving drug discovery with a hybrid deep generative model using reinforcement learning trained on a Bayesian docking approximation.
Authors: Xiong, Youjin1, Wang, Yiqing1,2, Wang, Yisheng1, Li, Chenmei1, Yusong, Peng1, Wu, Junyu2, Gu, Lingyun3, gu_lingyun@icekredit.com, Butch, Christopher J.1, chrisbutch@nju.edu.cn
Source: Journal of Computer-Aided Molecular Design; Nov2023, Vol. 37 Issue 11, p507-517, 11p
Database: Applied Science & Technology Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 171990721
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Improving drug discovery with a hybrid deep generative model using reinforcement learning trained on a Bayesian docking approximation.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Xiong%2C+Youjin%22">Xiong, Youjin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Yiqing%22">Wang, Yiqing</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Yisheng%22">Wang, Yisheng</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Li%2C+Chenmei%22">Li, Chenmei</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Yusong%2C+Peng%22">Yusong, Peng</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Wu%2C+Junyu%22">Wu, Junyu</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Gu%2C+Lingyun%22">Gu, Lingyun</searchLink><relatesTo>3</relatesTo>, <i>gu_lingyun@icekredit.com</i><br /><searchLink fieldCode="AU" term="%22Butch%2C+Christopher+J%2E%22">Butch, Christopher J.</searchLink><relatesTo>1</relatesTo>, <i>chrisbutch@nju.edu.cn</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Computer-Aided+Molecular+Design%22">Journal of Computer-Aided Molecular Design</searchLink>; Nov2023, Vol. 37 Issue 11, p507-517, 11p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=171990721
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10822-023-00523-3
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 507
    Titles:
      – TitleFull: Improving drug discovery with a hybrid deep generative model using reinforcement learning trained on a Bayesian docking approximation.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Xiong, Youjin
      – PersonEntity:
          Name:
            NameFull: Wang, Yiqing
      – PersonEntity:
          Name:
            NameFull: Wang, Yisheng
      – PersonEntity:
          Name:
            NameFull: Li, Chenmei
      – PersonEntity:
          Name:
            NameFull: Yusong, Peng
      – PersonEntity:
          Name:
            NameFull: Wu, Junyu
      – PersonEntity:
          Name:
            NameFull: Gu, Lingyun
      – PersonEntity:
          Name:
            NameFull: Butch, Christopher J.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: Nov2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 0920654X
          Numbering:
            – Type: volume
              Value: 37
            – Type: issue
              Value: 11
          Titles:
            – TitleFull: Journal of Computer-Aided Molecular Design
              Type: main
ResultId 1