Coronavirus Immunotherapeutic Consortium Database. (10th February 2023)
- Record Type:
- Journal Article
- Title:
- Coronavirus Immunotherapeutic Consortium Database. (10th February 2023)
- Main Title:
- Coronavirus Immunotherapeutic Consortium Database
- Authors:
- Mahita, Jarjapu
Ha, Brendan
Gambiez, Anais
Schendel, Sharon L
Li, Haoyang
Hastie, Kathryn M
Dennison, S Moses
Li, Kan
Kuzmina, Natalia
Periasamy, Sivakumar
Bukreyev, Alexander
Munt, Jennifer E
Osei-Twum, Mary
Atyeo, Caroline
Overton, James A
Vita, Randi
Guzman-Orozco, Hector
Mendes, Marcus
Kojima, Mari
Halfmann, Peter J
Kawaoka, Yoshihiro
Alter, Galit
Gagnon, Luc
Baric, Ralph S
Tomaras, Georgia D
Germann, Tim
Bedinger, Daniel
Greenbaum, Jason A
Saphire, Erica Ollmann
Peters, Bjoern - Abstract:
- Abstract: The coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has seen multiple anti-SARS-CoV-2 antibodies being generated globally. It is difficult, however, to assemble a useful compendium of these biological properties if they are derived from experimental measurements performed at different sites under different experimental conditions. The Coronavirus Immunotherapeutic Consortium (COVIC) circumvents these issues by experimentally testing blinded antibodies side by side for several functional activities. To collect these data in a consistent fashion and make it publicly available, we established the COVIC database (COVIC-DB, https://covicdb.lji.org/ ). This database enables systematic analysis and interpretation of this large-scale dataset by providing a comprehensive view of various features such as affinity, neutralization, in vivo protection and effector functions for each antibody. Interactive graphs enable direct comparisons of antibodies based on select functional properties. We demonstrate how the COVIC-DB can be utilized to examine relationships among antibody features, thereby guiding the design of therapeutic antibody cocktails. Database URL https://covicdb.lji.org/
- Is Part Of:
- Database. Volume 2023(2023)
- Journal:
- Database
- Issue:
- Volume 2023(2023)
- Issue Display:
- Volume 2023, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 2023
- Issue:
- 2023
- Issue Sort Value:
- 2023-2023-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-02-10
- Subjects:
- Biology -- Databases -- Periodicals
Bioinformatics -- Periodicals
570.285 - Journal URLs:
- http://database.oxfordjournals.org/ ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/database/baac112 ↗
- Languages:
- English
- ISSNs:
- 1758-0463
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25834.xml