Predictive classification models and targets identification for betulin derivatives as Leishmania donovani inhibitors

Yuezhou Zhang, Henri Xhaard, Leo Ghemtio

Research output: Contribution to journalArticleScientificpeer-review

Original languageEnglish
Article number40
JournalJournal of Cheminformatics
Volume10
Number of pages16
ISSN1758-2946
DOIs
Publication statusPublished - 17 Aug 2018
MoE publication typeA1 Journal article-refereed

Fields of Science

  • Leishmania donovani inhibitors
  • Betulin derivatives
  • Predictive modeling
  • Classification models
  • Recursive partitioning
  • In silico target prediction
  • Structure-based pharmacophore
  • Network analysis
  • ACID-DERIVATIVES
  • IN-VITRO
  • ANTILEISHMANIAL ACTIVITY
  • VISCERAL LEISHMANIASIS
  • ANTIMALARIAL ACTIVITY
  • ANTIVIRAL ACTIVITY
  • APOPTOSIS
  • DISCOVERY
  • VIVO
  • MOLECULES
  • 116 Chemical sciences
  • 317 Pharmacy

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