Computational design and biological testing of highly cytotoxic colchicine ring a modifications

John Torin Huzil, Philip Winter, Lorelei Johnson, Alexander L. Weis, Tamas Bakos, Asok Banerjee, Richard F. Luduena, Sambasivarao Damaraju, Jack A. Tuszynski

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Microtubules are the primary target for many anti-cancer drugs, the majority of which bind specifically to β-tubulin. The existence of several β-tubulin isotypes, coupled with their varied expression in normal and cancerous cells provides a platform upon which to construct selective chemotherapeutic agents. We have examined five prevalent human β-tubulin isotypes and identified the colchicine-binding site as the most promising for drug design based on specificity. Using this binding site as a template, we have designed several colchicine derivatives and computationally probed them for affinity to the β-tubulin isotypes. These compounds were synthesized and subjected to cytotoxicity assays to determine their effectiveness against several cancerous cell lines. We observed a correlation between computational-binding predictions and experimentally determined IC50 values, demonstrating the utility of computational screening in the design of more effective colchicine derivatives. The most promising derivative exhibited an IC50 approximately threefold lower than values previously reported for either colchicine or paclitaxel, demonstrating the utility of computational design and assessment of binding to tubulin.

Original languageEnglish (US)
Pages (from-to)541-550
Number of pages10
JournalChemical Biology and Drug Design
Volume75
Issue number6
DOIs
StatePublished - Jun 2010

Keywords

  • Colchicine
  • Cytotoxicity
  • Docking
  • Molecular modeling
  • Rational drug design

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Medicine
  • Pharmacology
  • Drug Discovery
  • Organic Chemistry

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