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Barbora Kozlíková

Researcher at Masaryk University

Publications -  66
Citations -  2010

Barbora Kozlíková is an academic researcher from Masaryk University. The author has contributed to research in topics: Visualization & Biological data visualization. The author has an hindex of 14, co-authored 62 publications receiving 1509 citations. Previous affiliations of Barbora Kozlíková include University of West Bohemia.

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CAVER 3.0: a tool for the analysis of transport pathways in dynamic protein structures.

TL;DR: A new version of CAVER enabling automatic analysis of tunnels and channels in large ensembles of protein conformations is presented, and analysis of molecular dynamics simulation is essential for the estimation of pathway characteristics and elucidation of the structural basis of the tunnel gating.
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CAVER Analyst 2.0: analysis and visualization of channels and tunnels in protein structures and molecular dynamics trajectories.

TL;DR: This work studies the transport paths of ligands, solvents, or ions in transmembrane proteins and proteins with buried binding sites to propose novel integrated algorithms that allow an efficient analysis and data reduction in large protein structures and molecular dynamic simulations.
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CAVER Analyst 1.0: graphic tool for interactive visualization and analysis of tunnels and channels in protein structures

TL;DR: CAVER Analyst is a software tool for calculation, analysis and real-time visualization of access tunnels and channels in static and dynamic protein structures that provides an intuitive graphic user interface for setting up the calculation and interactive exploration of identified tunnels/channels and their characteristics.
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CAVER: algorithms for analyzing dynamics of tunnels in macromolecules

TL;DR: The principles of the CAVER 3.0 algorithms for the identification and analysis of properties of transport pathways both in static and dynamic structures are described and the improved clustering solution for finding tunnels in macromolecules is introduced.
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Visualization of Biomolecular Structures: State of the Art Revisited

TL;DR: The report presents a taxonomy that demonstrates which areas of molecular visualization have already been extensively investigated and where the field is currently heading, and discusses visualizations for molecular structures, strategies for efficient display regarding image quality and frame rate.