Development of advanced analytical methods for the characterization of complex generics
Sector: Manufacturing (Industrial) • Location: United States of America
Source: Grants.gov
Advanced analytical methods for characterization and comparative analysis of complex products, which help to link product attributes to product quality, safety and efficacy, are useful for facilitating the development of generic complex products. The purpose of this study is to develop advanced analytical methods for analyzing the diastereomer compositions in phosphorothioate (PS) oligonucleotides
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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
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Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | Advanced analytical methods for characterization and comparative analysis of complex products, which help to link product attributes to product quality, safety and efficacy, are useful for facilitating the development of generic complex products. The purpose of this study is to develop advanced analytical methods for analyzing the diastereomer compositions in phosphorothioate (PS) oligonucleotides using either TEGSEDI (inotersen) or SPINRAZA (Nusinersen) as the model product. The proposed studies will focus on 1) understanding the diastereomer composition in TEGSEDI or SPINRAZA (Nusinersen), and 2) determining whether and how the manufacturing process may affect the diastereomeric distributions in the drug product. Methods developed through this research may also be applied in cases of other synthetic oligonucleotides, and could greatly facilitate the development and assessment of generic oligonucleotide drug products. Knowledge gained from this research may also contribute to quality control of oligonucleotide drugs. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
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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
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