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Jiri Damborsky

Researcher at Masaryk University

Publications -  229
Citations -  9031

Jiri Damborsky is an academic researcher from Masaryk University. The author has contributed to research in topics: Haloalkane dehalogenase & Chemistry. The author has an hindex of 41, co-authored 196 publications receiving 6726 citations. Previous affiliations of Jiri Damborsky include University of West Bohemia & Memorial Sloan Kettering Cancer Center.

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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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PredictSNP: robust and accurate consensus classifier for prediction of disease-related mutations.

TL;DR: This study constructed three independent datasets by removing all duplicities, inconsistencies and mutations previously used in the training of evaluated prediction tools, and returned results for all mutations, confirming that consensus prediction represents an accurate and robust alternative to the predictions delivered by individual tools.
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Strategies for Stabilization of Enzymes in Organic Solvents

TL;DR: The strategies can be grouped into three main categories: isolation of novel enzymes functioning under extreme conditions, modification of enzyme structures to increase their resistance toward nonconventional media, and modification of the solvent environment to decrease its denaturing effect on enzymes.
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Redesigning Dehalogenase Access Tunnels as a Strategy for Degrading an Anthropogenic Substrate.

TL;DR: Rhodococcus rhodochrous haloalkane dehalogenase mutants with up to 32-fold higher activity than wild type are obtained toward the toxic, recalcitrant anthropogenic compound 1,2,3-trichloropropane using a new strategy that identifies key residues in access tunnels connecting the buried active site with bulk solvent by rational design and randomized them by directed evolution.
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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.