ArticleNucleic acids research2019
Caver Web 1.0: identification of tunnels and channels in proteins and analysis of ligand transport.
Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers.
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Who cites it
96 citing papers in PubMed.
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- Caver Web 2.0: analysis of tunnels and ligand transport in dynamic ensembles of proteins.Nucleic acids research · 2025Article
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- Structural and biochemical analysis of ligand binding in yeast Niemann-Pick type C1-related protein.Life science alliance · 2025Article
- Ancestral Sequence Reconstruction for Designing Biocatalysts and Investigating their Functional Mechanisms.JACS Au · 2024Review
- Identification and Characterization of Two Aryl Sulfotransferases from Deep-Sea Marine Fungi and Their Implications in the Sulfation of Secondary Metabolites.Marine drugs · 2024Article
- Comparison of two peroxidases with high potential for biotechnology applications - HRPComputational and structural biotechnology journal · 2024Article
36 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Caver Web 1.0 is a web server for comprehensive analysis of protein tunnels and channels, and study of the ligands' transport through these transport pathways. Caver Web is the first interactive tool allowing both the analyses within a single graphical user interface. The server is built on top of the abundantly used tunnel detection tool Caver 3.02 and CaverDock 1.0 enabling the study of the ligand transport. The program is easy-to-use as the only required inputs are a protein structure for a tunnel identification and a list of ligands for the transport analysis. The automated guidance procedures assist the users to set up the calculation in a way to obtain biologically relevant results. The identified tunnels, their properties, energy profiles and trajectories for ligands' passages can be calculated and visualized. The tool is very fast (2-20 min per job) and is applicable even for virtual screening purposes. Its simple setup and comprehensive graphical user interface make the tool accessible for a broad scientific community. The server is freely available at https://loschmidt.chemi.muni.cz/caverweb.
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