KBbox
KBbox aggregates and recommends computational methods to analyze and predict molecular binding kinetics for studies of protein–ligand interactions, enzyme mechanisms, and drug discovery.
Key Features:
- Method Selection Guidance: Recommends computational approaches based on project requirements, available data types, desired information outcomes, and computational resource considerations.
- Comprehensive Methodology Database: Catalogs computational techniques with descriptions of application scope, accuracy levels, and resource demands.
- Software Tool Integration: Associates each computational method with corresponding software tools to enable implementation in research workflows.
- Curated Examples of Published Work: Provides curated literature examples illustrating the application of methods to binding kinetics studies.
- Dynamic Content Updates: Allows addition of new methods, tools, and examples as they are published to maintain current methodological coverage.
Scientific Applications:
- Drug discovery: Predicting interaction rates to inform therapeutic design and candidate prioritization.
- Protein–ligand interaction analysis: Characterizing kinetic mechanisms in protein–ligand binding studies.
- Enzyme mechanism investigation: Analyzing binding events and kinetic behavior relevant to enzymatic function.
- Fundamental biological studies: Supporting kinetic analyses to elucidate dynamics of biological interactions.
Methodology:
Integration of diverse computational approaches for binding kinetics analysis, with recommendations generated from user-specified research parameters via evaluation of data type compatibility and computational feasibility.
Topics
Details
- Tool Type:
- web application
- Added:
- 11/14/2019
- Last Updated:
- 12/14/2020
Operations
Publications
Bruce NJ, Ganotra GK, Richter S, Wade RC. KBbox: A Toolbox of Computational Methods for Studying the Kinetics of Molecular Binding. Journal of Chemical Information and Modeling. 2019;59(9):3630-3634. doi:10.1021/acs.jcim.9b00485. PMID:31381336.
PMID: 31381336
Funding: - Innovative Medicines Initiative: 115366
- Horizon 2020 Framework Programme: 720270, 785907