View in EDS

Deep learning model for activity cliffs prediction: a comprehensive approach to protein kinase inhibitors.

Saved in:
Bibliographic Details
Title: Deep learning model for activity cliffs prediction: a comprehensive approach to protein kinase inhibitors.
Authors: Elaiwat S; Faculty of Architecture and Design, Al-Zaytoonah University of Jordan, Amman, Jordan. S.elaiwat@zuj.edu.jo., Daoud S; Department of Pharmaceutical Chemistry and Pharmacognosy, Faculty of Pharmacy, Applied Science Private University, Amman, Jordan., Jaradat NJ; Department of Applied Pharmaceutical Sciences and Clinical Pharmacy, Faculty of Pharmacy, Isra University, Amman, Jordan., Taha M; Faculty of Pharmacy, University of Jordan, Amman, Jordan. Mutasem@ju.edu.jo.
Source: Journal of computer-aided molecular design [J Comput Aided Mol Des] 2025 Dec 03; Vol. 40 (1), pp. 9. Date of Electronic Publication: 2025 Dec 03.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Netherlands NLM ID: 8710425 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-4951 (Electronic) Linking ISSN: 0920654X NLM ISO Abbreviation: J Comput Aided Mol Des Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41331397
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Deep learning model for activity cliffs prediction: a comprehensive approach to protein kinase inhibitors.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Elaiwat+S%22">Elaiwat S</searchLink>; Faculty of Architecture and Design, Al-Zaytoonah University of Jordan, Amman, Jordan. S.elaiwat@zuj.edu.jo.<br /><searchLink fieldCode="AU" term="%22Daoud+S%22">Daoud S</searchLink>; Department of Pharmaceutical Chemistry and Pharmacognosy, Faculty of Pharmacy, Applied Science Private University, Amman, Jordan.<br /><searchLink fieldCode="AU" term="%22Jaradat+NJ%22">Jaradat NJ</searchLink>; Department of Applied Pharmaceutical Sciences and Clinical Pharmacy, Faculty of Pharmacy, Isra University, Amman, Jordan.<br /><searchLink fieldCode="AU" term="%22Taha+M%22">Taha M</searchLink>; Faculty of Pharmacy, University of Jordan, Amman, Jordan. Mutasem@ju.edu.jo.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%228710425%22">Journal of computer-aided molecular design</searchLink> [J Comput Aided Mol Des] 2025 Dec 03; Vol. 40 (1), pp. 9. <i>Date of Electronic Publication: </i>2025 Dec 03.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>8710425 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1573-4951 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220920654X%22">0920654X </searchLink><i>NLM ISO Abbreviation: </i>J Comput Aided Mol Des <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41331397
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10822-025-00721-1
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 9
    Titles:
      – TitleFull: Deep learning model for activity cliffs prediction: a comprehensive approach to protein kinase inhibitors.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Elaiwat S
      – PersonEntity:
          Name:
            NameFull: Daoud S
      – PersonEntity:
          Name:
            NameFull: Jaradat NJ
      – PersonEntity:
          Name:
            NameFull: Taha M
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 03
              M: 12
              Text: 2025 Dec 03
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 1573-4951
          Numbering:
            – Type: volume
              Value: 40
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Journal of computer-aided molecular design
              Type: main
ResultId 1