COVIC-DB
COVIC-DB compiles and standardizes blinded, side-by-side experimental data on anti-SARS-CoV-2 antibodies to enable comparative analysis of affinity, neutralization, in vivo protection, and effector functions.
Key Features:
- Systematic data collection and analysis: Aggregates blinded antibody samples tested side-by-side across multiple functional activities to reduce discrepancies from differing experimental setups.
- Comprehensive antibody profiling: Captures quantitative measures of affinity, neutralization capacity, in vivo protection, and effector functions for each antibody.
- Interactive data visualization: Generates interactive graphs for direct comparison of antibodies based on selected functional properties.
- Guidance for therapeutic design: Enables examination of correlations among antibody features to inform design and optimization of therapeutic antibody cocktails.
Scientific Applications:
- Therapeutic antibody development: Supports identification and optimization of candidate anti-SARS-CoV-2 therapeutic antibodies using standardized comparative data.
- Comparative studies: Facilitates standardized comparisons of relative antibody effectiveness across multiple functional assays.
- Strategic research planning: Informs research and development decisions by revealing relationships among antibody properties relevant to efficacy.
Methodology:
Systematic collection and computational analysis of blinded, side-by-side antibody data across multiple functional activities and generation of interactive comparative visualizations.
Topics
Collections
Details
- License:
- CC-BY-4.0
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 3/15/2023
- Last Updated:
- 11/24/2024
Operations
Publications
Mahita J, Ha B, Gambiez A, Schendel SL, Li H, Hastie KM, Dennison SM, Li K, Kuzmina N, Periasamy S, Bukreyev A, Munt JE, Osei-Twum M, Atyeo C, Overton JA, Vita R, Guzman-Orozco H, Mendes M, Kojima M, Halfmann PJ, Kawaoka Y, Alter G, Gagnon L, Baric RS, Tomaras GD, Germann T, Bedinger D, Greenbaum JA, Saphire EO, Peters B. Coronavirus Immunotherapeutic Consortium Database. Database. 2023;2023. doi:10.1093/database/baac112. PMID:36763096. PMCID:PMC9913043.