KVFinder-web
KVFinder-web detects and characterizes cavities in biomolecular structures, including proteins, nucleic acids, and supramolecular cages, to quantify geometric and physicochemical properties relevant to molecular interactions and host–guest design.
Key Features:
- Cavity detection and characterization: Implements a geometric grid-and-sphere-based method with a dual-probe system to detect cavities and report shape, volume, area, depth, constitution, and hydropathy.
Scientific Applications:
- Biomolecular interactions: Analysis of cavity geometry and physicochemical complementarity to study interactions that modulate catalytic processes and receptor binding.
- Supramolecular cage design: Quantification of cavity shape and size to support the design and evaluation of artificial hosts in supramolecular chemistry.
Methodology:
Uses a geometric grid-and-sphere algorithm with a dual-probe system to identify cavities and compute shape, volume, area, depth, constitution, and hydropathy; methodology validated by comparative studies with other cavity characterization software.
Topics
Collections
Details
- License:
- Apache-2.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- api
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R, C, Other
- Added:
- 8/2/2024
- Last Updated:
- 5/14/2025
Operations
Data Inputs & Outputs
Binding site prediction
Inputs
Outputs
Publications
Guerra JVS, Ribeiro-Filho HV, Pereira JGC, Lopes-de-Oliveira PS. KVFinder-web: a web-based application for detecting and characterizing biomolecular cavities. Nucleic Acids Research. 2023;51(W1):W289-W297. doi:10.1093/nar/gkad324. PMID:37140050. PMCID:PMC10320092.
Guerra JVS, Alves LFG, Bourissou D, Lopes-de-Oliveira PS, Szalóki G. Cavity Characterization in Supramolecular Cages. Journal of Chemical Information and Modeling. 2023;63(12):3772-3785. doi:10.1021/acs.jcim.3c00328. PMID:37129917.