New Algorithms and Software for Mass Spectrometric Analysis of Intact Proteins and Complexes

Information

  • Research Project
  • 9774737
  • ApplicationId
    9774737
  • Core Project Number
    R43GM133239
  • Full Project Number
    1R43GM133239-01
  • Serial Number
    133239
  • FOA Number
    PA-18-574
  • Sub Project Id
  • Project Start Date
    4/1/2019 - 5 years ago
  • Project End Date
    3/31/2020 - 4 years ago
  • Program Officer Name
    RAVICHANDRAN, VEERASAMY
  • Budget Start Date
    4/1/2019 - 5 years ago
  • Budget End Date
    3/31/2020 - 4 years ago
  • Fiscal Year
    2019
  • Support Year
    01
  • Suffix
  • Award Notice Date
    2/27/2019 - 5 years ago
Organizations

New Algorithms and Software for Mass Spectrometric Analysis of Intact Proteins and Complexes

Project Summary Intact proteins and multi-protein complexes represent two of the most important levels of organization in biology, yet these levels are also some of the most difficult to study. Top-down proteomics offers a bold vision: direct observation, identification, and relative quantification of all the protein forms in a biological sample. Native mass spectrometry aims at the next higher level of organization by providing a means to observe proteins in complex with ligands or other proteins. The proposed project will build new algorithms and software for intact, native, and top-down mass spectrometry. Specifically, the project will further develop Protein Metrics Intact Mass charge- deconvolution software, incorporating multiple information channels (isotope spacing, co-elution, and charge states) into the core algorithm, so that the algorithm can handle complex, low signal- to-noise mass spectra over a wide range of masses and abundances. The project will also build differential quantification (?proteoform profiling?) for undigested proteins and complexes, regardless of whether or not the molecules have isotope resolution. The project will enable a number of interesting applications, including biomarker discovery, large-molecule drug comparability, pharmacokinetics, and protein / ligand and protein / protein binding.

IC Name
NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
  • Activity
    R43
  • Administering IC
    GM
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    225000
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    859
  • Ed Inst. Type
  • Funding ICs
    NIGMS:225000\
  • Funding Mechanism
    SBIR-STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    PROTEIN METRICS, INC.
  • Organization Department
  • Organization DUNS
    967100921
  • Organization City
    Cupertino
  • Organization State
    CA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    95014
  • Organization District
    UNITED STATES