Predicting Antibody Developability Profiles Through Early Stage Discovery Screening
| Title: | Predicting Antibody Developability Profiles Through Early Stage Discovery Screening |
|---|---|
| Authors: | Marc Bailly, Carl Mieczkowski, Veronica Juan, Essam Metwally, Daniela Tomazela, Jeanne Baker, Makiko Uchida, Ester Kofman, Fahimeh Raoufi, Soha Motlagh, Yao Yu, Jihea Park, Smita Raghava, John Welsh, Michael Rauscher, Gopalan Raghunathan, Mark Hsieh, Yi-Ling Chen, Hang Thu Nguyen, Nhung Nguyen, Dan Cipriano, Laurence Fayadat-Dilman |
| Source: | mAbs, Vol 12, Iss 1 (2020) |
| Publisher Information: | Taylor & Francis Group, 2020. |
| Publication Year: | 2020 |
| Collection: | LCC:Therapeutics. Pharmacology LCC:Immunologic diseases. Allergy |
| Subject Terms: | Monoclonal antibodies, developability, protein analytics, biophysical properties, protein engineering, antibody discovery, Therapeutics. Pharmacology, RM1-950, Immunologic diseases. Allergy, RC581-607 |
| More Details: | Monoclonal antibodies play an increasingly important role for the development of new drugs across multiple therapy areas. The term ‘developability’ encompasses the feasibility of molecules to successfully progress from discovery to development via evaluation of their physicochemical properties. These properties include the tendency for self-interaction and aggregation, thermal stability, colloidal stability, and optimization of their properties through sequence engineering. Selection of the best antibody molecule based on biological function, efficacy, safety, and developability allows for a streamlined and successful CMC phase. An efficient and practical high-throughput developability workflow (100 s-1,000 s of molecules) implemented during early antibody generation and screening is crucial to select the best lead candidates. This involves careful assessment of critical developability parameters, combined with binding affinity and biological properties evaluation using small amounts of purified material ( |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 19420862 1942-0870 1942-0862 |
| Relation: | https://doaj.org/toc/1942-0862; https://doaj.org/toc/1942-0870 |
| DOI: | 10.1080/19420862.2020.1743053 |
| Access URL: | https://doaj.org/article/adb0a7cc163a47868054a9dee9dd053c |
| Accession Number: | edsdoj.b0a7cc163a47868054a9dee9dd053c |
| Database: | Directory of Open Access Journals |
| ISSN: | 19420862 19420870 |
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| DOI: | 10.1080/19420862.2020.1743053 |
| Published in: | mAbs |
| Language: | English |