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