MOLE: a Voronoi diagram-based explorer of molecular channels, pores, and tunnels
Jazyk angličtina Země Spojené státy americké Médium print
Typ dokumentu časopisecké články
PubMed
17997961
DOI
10.1016/j.str.2007.10.007
PII: S0969-2126(07)00375-9
Knihovny.cz E-zdroje
- MeSH
- algoritmy * MeSH
- databáze proteinů MeSH
- iontové kanály chemie MeSH
- konformace proteinů MeSH
- krystalografie rentgenová MeSH
- molekulární modely MeSH
- proteiny chemie MeSH
- software * MeSH
- Publikační typ
- časopisecké články MeSH
- Názvy látek
- iontové kanály MeSH
- proteiny MeSH
We have developed an algorithm, "MOLE," for the rapid, fully automated location and characterization of molecular channels, tunnels, and pores. This algorithm has been made freely available on the Internet (http://mole.chemi.muni.cz/) and overcomes many of the shortcomings and limitations of the recently developed CAVER software. The core of our MOLE algorithm is a Dijkstra's path search algorithm, which is applied to a Voronoi mesh. Tests on a wide variety of biomolecular systems including gramicidine, acetylcholinesterase, cytochromes P450, potassium channels, DNA quadruplexes, ribozymes, and the large ribosomal subunit have demonstrated that the MOLE algorithm performs well. MOLE is thus a powerful tool for exploring large molecular channels, complex networks of channels, and molecular dynamics trajectories in which analysis of a large number of snapshots is required.
Citace poskytuje Crossref.org
MOLEonline: a web-based tool for analyzing channels, tunnels and pores (2018 update)
ChannelsDB: database of biomacromolecular tunnels and pores
The Role of Protein-Protein and Protein-Membrane Interactions on P450 Function
MOLE 2.0: advanced approach for analysis of biomacromolecular channels
CAVER 3.0: a tool for the analysis of transport pathways in dynamic protein structures
MOLEonline 2.0: interactive web-based analysis of biomacromolecular channels