Bioinspired computational design of lankacidin derivatives for improvement in antitumor activity

Ahmed Taha Ayoub, Natsumi Nishiura, Aiko Teshima, Mohamed Ali Elrefaiy, Rukman Muslimin, Kiep Minh Do, Takeshi Kodama, Cody Wayne Lewis, Gordon Chan, Hiroyuki Morita, Kenji Arakawa*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Background: The 17-membered polyketide, lankacidin C, exhibits considerable antitumor activity as a microtubule stabilizer by binding to the paclitaxel binding site. Method: Esterification of the C-7/C-13 hydroxyl in lankacidin C was performed with acetyl, cinnamoyl and hydrocinnamoyl groups and their antitumor activity was assessed to improve the cytotoxicity of lankacidins through bioinspired computational design. Results: Compared with the cytotoxicity of parent lankacidin C against the HeLa cell line, 13-O-cinnamoyl-lankacidin C demonstrated sevenfold higher cytotoxicity. Furthermore, 7,13-di-O-cinnamoyl-lankacidin C exhibited considerable antitumor activity against three tested cell lines. Conclusion: C13-esterification by a cinnamoyl group dramatically improved antitumor activity, in agreement with computational predictions. This finding provides a potential substrate for next-generation lankacidin derivatives with significant antitumor activity.

Original languageEnglish
Pages (from-to)1349-1360
Number of pages12
JournalFuture Medicinal Chemistry
Volume14
Issue number19
DOIs
StatePublished - 2022/10/01

Keywords

  • antibiotic
  • antitumor activity
  • carbocyclic polyketide
  • computational prediction
  • drug design
  • natural product modification
  • tubulin

ASJC Scopus subject areas

  • Molecular Medicine
  • Pharmacology
  • Drug Discovery

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