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Cancer Target Discovery and Development (CTDD) Network (U01)

Post Date

March 30th 2012

Application Due Date

June 21st 2012

Funding Opportunity Number

RFA-CA-12-006

CFDA Number(s)

93.393
93.394
93.395
93.396

Funding Instrument Type(s)

Cooperative Agreement

Funding Activity Categories

Education
Health

Eligibility Categories

State Governments
Public and State Controlled Institutions of Higher Education
Non-Profits With 501 (c) (3) Status With The IRS (Except Higher Education Institutions)
Non-Profits Without 501 (c) (3) Status With The IRS (Except Higher Education Institutions)
Private Institutions of Higher Education
For-Profit Organizations (Except Small Businesses)
Small Businesses
Other

Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession; Non-domestic (non-U.S.) Entities (Foreign Institutions) are eligible to apply. Non-domestic (non-U.S.) components of U.S. Organizations are eligible to apply. Foreign components, as defined in the NIH Grants Policy Statement, are allowed.

Funding

  • Award Range:

    $None - $None

Grant Description

The purpose of this Funding Opportunity Announcement (FOA) and the Cancer Target Discovery and Development (CTDD) initiative is to promote innovative research on high throughput approaches to the discovery and characterization of new cancer targets and their modulators. Projects resulting from this FOA are expected to bridge the gap between the enormous volumes of data generated by the comprehensive molecular characterizations of many cancer subtypes and the ability to use these data for the development of human cancer therapeutics and associated response markers. Applicants must propose research projects focused on high-throughput identification and/or characterization of potential targets for cancer therapy, and/or the identification of small molecules that modulate validated cancer targets. Proposed projects are expected to combine in-depth mining of large-scale genomic data, systems biology analyses and/or experimental approaches to provide initial characterization of functional significance.

Contact Information


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