Laws of mechanics and function in proteins as evolved molecular machines

Information

  • Research Project
  • 10459896
  • ApplicationId
    10459896
  • Core Project Number
    F32GM134721
  • Full Project Number
    3F32GM134721-02S1
  • Serial Number
    134721
  • FOA Number
    PA-20-272
  • Sub Project Id
  • Project Start Date
    9/1/2019 - 4 years ago
  • Project End Date
    8/31/2022 - a year ago
  • Program Officer Name
    SHEWMAKER, FRANK PAUL
  • Budget Start Date
    9/1/2020 - 3 years ago
  • Budget End Date
    8/31/2022 - a year ago
  • Fiscal Year
    2021
  • Support Year
    02
  • Suffix
    S1
  • Award Notice Date
    9/10/2021 - 2 years ago

Laws of mechanics and function in proteins as evolved molecular machines

PROJECT SUMMARY/ABSTRACT The adaptive immune system has evolved to remember primary exposures to specific antigens and launch effective attacks to subsequent exposures. However, rapidly evolving viruses like influenza and HIV present new challenges to the human immune system as they mutate, making them harder to recognize and respond to during subsequent exposures. In order for secondary responses to these pathogens to succeed, the primary response must generate a memory response that balances specificity to the original antigen with diversity against the multitude of possible variants of subsequent exposures. For an individual of a given species interacting with other individuals within a larger population, the efficacy of a given balance between specificity and diversity depends on a number of factors, including how likely the individual is to be exposed to the same pathogen in the future, the rate at which the antigen is mutating, and constraints on the biological processes which control the generation of immunological memory within that species. This research program aims to construct a theoretical framework for characterizing the benefits and trade-offs associated with diversity in the adaptive immune response and the mechanisms by which said diversity is generated. This study will then use computational analyses of several datasets to evaluate the extent to which the antibody responses of different species generate levels of diversity which are well-adapted to their biological needs, using mice and humans as representative examples.

IC Name
NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
  • Activity
    F32
  • Administering IC
    GM
  • Application Type
    3
  • Direct Cost Amount
    68562
  • Indirect Cost Amount
  • Total Cost
    68562
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    859
  • Ed Inst. Type
    SCHOOLS OF MEDICINE
  • Funding ICs
    NIGMS:68562\
  • Funding Mechanism
    TRAINING, INDIVIDUAL
  • Study Section
  • Study Section Name
  • Organization Name
    UNIVERSITY OF CHICAGO
  • Organization Department
    BIOCHEMISTRY
  • Organization DUNS
    005421136
  • Organization City
    CHICAGO
  • Organization State
    IL
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    606372612
  • Organization District
    UNITED STATES