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Identification of small molecule inhibitors of botulinum neurotoxin serotype E via footprint similarity

  • Yuchen Zhou
  • , Brian E. McGillick
  • , Yu Han Gary Teng
  • , Krupanandan Haranahalli
  • , Iwao Ojima
  • , Subramanyam Swaminathan
  • , Robert C. Rizzo
  • Stony Brook University
  • Brookhaven National Laboratory

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Botulinum neurotoxins (BoNT) are among the most poisonous substances known, and of the 7 serotypes (A–G) identified thus far at least 4 can cause death in humans. The goal of this work was identification of inhibitors that specifically target the light chain catalytic site of the highly pathogenic but lesser-studied E serotype (BoNT/E). Large-scale computational screening, employing the program DOCK, was used to perform atomic-level docking of 1.4 million small molecules to prioritize those making favorable interactions with the BoNT/E site. In particular, ‘footprint similarity’ (FPS) scoring was used to identify compounds that could potentially mimic features on the known substrate tetrapeptide RIME. Among 92 compounds purchased and experimentally tested, compound C562-1101 emerged as the most promising hit with an apparent IC50value three-fold more potent than that of the first reported BoNT/E small molecule inhibitor NSC-77053. Additional analysis showed the predicted binding pose of C562-1101 was geometrically and energetically stable over an ensemble of structures generated by molecular dynamic simulations and that many of the intended interactions seen with RIME were maintained. Several analogs were also computationally designed and predicted to have further molecular mimicry thereby demonstrating the potential utility of footprint-based scoring protocols to help guide hit refinement.

Original languageEnglish
Pages (from-to)4875-4889
Number of pages15
JournalBioorganic and Medicinal Chemistry
Volume24
Issue number20
DOIs
StatePublished - 2016

Keywords

  • BoNT/E
  • Botulinum neurotoxin
  • DOCK
  • Docking
  • Footprint similarity
  • Molecular dynamics
  • Scoring functions
  • Virtual screening

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