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Technology Development for New Affinity Reagents Against the Human Proteome (U54)

Sector: Government • Location: United States of America

Source: Grants.gov

Project
Archived

The NIH Common Fund Protein Capture Program aims to develop over time the capacity to generate a community resource of high quality renewable affinity reagents for all human proteins (see ).

This Funding Opportunity Announcement (FOA) is a component of the Protein Capture Program, and is designed to solicit grant applications that would develop and/or impro

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The project “Technology Development for New Affinity Reagents Against the Human Proteome (U54)” is an infrastructure initiative in the Government sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

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Participants

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archived

Taiyo status

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Description

Description

The NIH Common Fund Protein Capture Program aims to develop over time the capacity to generate a community resource of high quality renewable affinity reagents for all human proteins (see http://nihroadmap.nih.gov/proteincapture). This Funding Opportunity Announcement (FOA) is a component of the Protein Capture Program, and is designed to solicit grant applications that would develop and/or improve approaches for obtaining protein affinity reagents at high throughput and low cost. Applications should describe an approach for improving and/or developing protein affinity reagent technologies that can be ready for proteome scale projects within three to five years.However, it is expected that the technologies proposed have already shown solid proof of principle, yet need additional funds to demonstrate scalability. It should also be noted that the main goal of this solicitation is to improve the overall production pipeline from targets selection to the validation of the protein affinity reagents; thus applications should discuss their development efforts within a production pipeline context. However, the proposed improvements or developments could be across the entire process or have a main focus on specific aspects of the process.

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Source

Source reliability

High

Data quality score

100%

Source

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URL

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