Next Generation PrEP II (R01)
Sector: Hospital • Location: United States of America
Source: Grants.gov
Develop the basic and preclinical framework needed for development of second and subsequent generations of PrEP agents Create a rational pipeline for the discovery of New Molecular Entities (NMEs) and the identification of existing antiretrovirals (including those that are approved for HIV treatment, and those that are not approved but may have clinical data) that can be used for the next generat
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | Develop the basic and preclinical framework needed for development of second and subsequent generations of PrEP agents Create a rational pipeline for the discovery of New Molecular Entities (NMEs) and the identification of existing antiretrovirals (including those that are approved for HIV treatment, and those that are not approved but may have clinical data) that can be used for the next generation of PrEP agents Develop preclinical algorithms with clear go/no go criteria for identifying and prioritizing PrEP candidates for advancement to clinical evaluation Generate PK/PD models to assess protective effects at mucosal sites of HIV transmission Conduct proof-of-concept safety and efficacy studies in animal models |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
