Hybrid Methods for Dynamic Structure Analysis of Proteins from Pathogenic Microorganisms

Information

  • Research Project
  • 10205615
  • ApplicationId
    10205615
  • Core Project Number
    R35GM141818
  • Full Project Number
    1R35GM141818-01
  • Serial Number
    141818
  • FOA Number
    PAR-19-367
  • Sub Project Id
  • Project Start Date
    7/1/2021 - 3 years ago
  • Project End Date
    4/30/2026 - a year from now
  • Program Officer Name
    SHEWMAKER, FRANK PAUL
  • Budget Start Date
    7/1/2021 - 3 years ago
  • Budget End Date
    4/30/2022 - 2 years ago
  • Fiscal Year
    2021
  • Support Year
    01
  • Suffix
  • Award Notice Date
    6/4/2021 - 3 years ago

Hybrid Methods for Dynamic Structure Analysis of Proteins from Pathogenic Microorganisms

PROJECT SUMMARY This research program will investigate the general hypothesis that understanding the conformational diversity of proteins will provide new insights into their biology, and enable medical research. It is directed to two classes of systems: Integral Membrane Proteins (IMPs) and viral-host interactions. IMPs play critical roles as gate keepers, receptors, transporters, homeostasis regulators, and drug targets. These functions are mediated by the conformational plasticity of the IMP in the membrane environment. IMPs are challenging to prepare, and even more challenging to reconstitute in appropriate membrane mimicking environments. Cost-effective technologies for isotope-enrichment in condensed volumes, hybrid approaches combining NMR with evolutionary co-variation (ECs), novel methods of contact prediction, and innovative modeling methods from the protein structure prediction community, will be applied to structure-function studies of IMPs. These IMPs, chosen from important human pathogens, including E. coli, K. pneumoniae, and P. aeruginosa, are potential targets for antibiotic discovery. ECs will also be combined with NMR data to determine structures of multiple ?native states? of proteins. The second component of our program is directed to viral ? host biomolecular complexes, and antiviral drug discovery. We will utilize innovative paramagnetic NMR methods, together with small angle X-ray scattering (SAXS), electron-electron double resonance spectroscopy (DEER), and Förster resonance energy transfer (FRET), to rigorously define dynamic interdomain structural distributions conferred by the partially-ordered linkers of the murine Moloney Leukemia Virus (MLV) integrase (IN). These data will be interpreted in the context of maximum occupancy probabilities (MaxOcc), and used to probe the role(s) of this flexibility in the gene integration mechanisms of g-retroviruses. Interdomain linkers also function to provide flexibility needed for binding partner promiscuity. We will also determine how the interdomain linker sequences of influenza Non-Structural Protein 1 (NS1) confer appropriate plasticity to define its specificity and affinity for host proteins and RNAs. This structural and functional promiscuity underlies NS1?s mechanisms for suppressing the cellular innate immune response to influenza infection, and rigorous characterization of its dynamic structural basis will provide fundamental information for live-attenuated virus vaccine development. We will also apply our platform to investigate drugs that inhibit SARS-CoV2 virus by binding its main protease (Mpro). We have identified three drugs, already approved for use in humans, originally designed to inhibit the NSP3/4A protease of hepatitis C virus, that also inhibit SARS-CoV2 in viral replication assays at low micromolar concentrations. Our computational docking studies have also identified several other FDA- approved drugs that may inhibit Mpro. Enzyme kinetic, biophysical chemistry, and X-ray crystallography studies will be used to characterize complexes formed between these protease inhibitor drugs and Mpro, and to develop their potential as COVID-19 therapeutics, or as lead compounds for new therapeutic development.

IC Name
NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
  • Activity
    R35
  • Administering IC
    GM
  • Application Type
    1
  • Direct Cost Amount
    400000
  • Indirect Cost Amount
    258000
  • Total Cost
    658000
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    859
  • Ed Inst. Type
    SCHOOLS OF ARTS AND SCIENCES
  • Funding ICs
    NIGMS:658000\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    RENSSELAER POLYTECHNIC INSTITUTE
  • Organization Department
    CHEMISTRY
  • Organization DUNS
    002430742
  • Organization City
    TROY
  • Organization State
    NY
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    121803590
  • Organization District
    UNITED STATES