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MOLE: a Voronoi diagram-based explorer of molecular channels, pores, and tunnels
M Petrek, P Kosinova, J Koca, M Otyepka
Jazyk angličtina Země Spojené státy americké
NLK
Cell Press Free Archives
od 1995-01-01 do Před 1 rokem
Free Medical Journals
od 1995 do Před 1 rokem
Free Medical Journals
od 1995 do Před 1 rokem
Elsevier Open Access Journals
od 1995-01-01 do Před 1 rokem
Elsevier Open Archive Journals
od 1995-01-01 do Před 1 rokem
- MeSH
- algoritmy MeSH
- databáze proteinů MeSH
- iontové kanály chemie MeSH
- konformace proteinů MeSH
- krystalografie rentgenová MeSH
- molekulární modely MeSH
- proteiny MeSH
- software 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.
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- $a 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.
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