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Analyzing Resistance to Design Selective Chemical Inhibitors for AAA Proteins.

Rudolf Pisa | Tommaso Cupido | Jonathan B Steinman | Natalie H Jones | Tarun M Kapoor
Cell chemical biology | 2019

Drug-like inhibitors are often designed by mimicking cofactor or substrate interactions with enzymes. However, as active sites are comprised of conserved residues, it is difficult to identify the critical interactions needed to design selective inhibitors. We are developing an approach, named RADD (resistance analysis during design), which involves engineering point mutations in the target to generate active alleles and testing compounds against them. Mutations that alter compound potency identify residues that make key interactions with the inhibitor and predict target-binding poses. Here, we apply this approach to analyze how diaminotriazole-based inhibitors bind spastin, a microtubule-severing AAA (ATPase associated with diverse cellular activities) protein. The distinct binding poses predicted for two similar inhibitors were confirmed by a series of X-ray structures. Importantly, our approach not only reveals how selective inhibition of the target can be achieved but also identifies resistance-conferring mutations at the early stages of the design process.

Pubmed ID: 31257183

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Associated grants

  • Agency: NIGMS NIH HHS, United States
    Id: T32 GM115327
  • Agency: NIGMS NIH HHS, United States
    Id: R35 GM130234
  • Agency: NCRR NIH HHS, United States
    Id: S10 RR027037
  • Agency: NCRR NIH HHS, United States
    Id: S10 RR022321
  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM098579
  • Agency: NIGMS NIH HHS, United States
    Id: T32 GM007739

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MacVector (tool)

RRID:SCR_015700

Software application that provides sequence editing, primer design, internet database searching, protein analysis, sequence confirmation, multiple sequence alignment, phylogenetic reconstruction, coding region analysis, agarose gel simulation and a variety of other functions.

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