Demo Data from EDBT 2026 / reviewers in the wild / expert
Jan Plhak
dblp:167/5852
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › structural bioinformatics
ligand transport analysis |
0.4 | 1 | 2019 | CaverDock: a molecular docking-based tool to analyse ligand transport through protein tunnels and channels · Bioinform. 2019 |
Bioinformatics and computational biology › molecular informatics › molecular modeling
molecular docking |
0.4 | 1 | 2019 | CaverDock: a molecular docking-based tool to analyse ligand transport through protein tunnels and channels · Bioinform. 2019 |
Bioinformatics and computational biology
structural bioinformatics |
0.4 | 1 | 2019 | CaverDock: a molecular docking-based tool to analyse ligand transport through protein tunnels and channels · Bioinform. 2019 |
Methods — techniques the papers use, named apart from their topics
parallel heuristic algorithm · 0.4autodock vina · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | CaverDock: A Novel Method for the Fast Analysis of Ligand TransportabstractHere we present a novel method for the analysis of transport processes in proteins and its implementation called CaverDock. Our method is based on a modified molecular docking algorithm. It iteratively places the ligand along the access tunnel in such a way that the ligand movement is contiguous and the energy is minimized. The result of CaverDock calculation is a ligand trajectory and an energy profile of transport process. CaverDock uses the modified docking program Autodock Vina for molecular docking and implements a parallel heuristic algorithm for searching the space of possible trajectories. Our method lies in between the geometrical approaches and molecular dynamics simulations. Contrary to the geometrical methods, it provides an evaluation of chemical forces. However, it is far less computationally demanding and easier to set up compared to molecular dynamics simulations. CaverDock will find a broad use in the fields of computational enzymology, drug design, and protein engineering. The software is available free of charge to the academic users at https://loschmidt.chemi.muni.cz/caverdock/. Jiri Filipovic, Ondrej Vavra, Jan Plhak, David Bednar, Sérgio M. Marques, Jan Brezovsky, Ludek Matyska, Jirí Damborský |
IEEE ACM Trans. Comput. Biol. Bioinform. | 3 |
| 2019 | CaverDock: a molecular docking-based tool to analyse ligand transport through protein tunnels and channelsabstractMOTIVATION: Protein tunnels and channels are key transport pathways that allow ligands to pass between proteins' external and internal environments. These functionally important structural features warrant detailed attention. It is difficult to study the ligand binding and unbinding processes experimentally, while molecular dynamics simulations can be time-consuming and computationally demanding. RESULTS: CaverDock is a new software tool for analysing the ligand passage through the biomolecules. The method uses the optimized docking algorithm of AutoDock Vina for ligand placement docking and implements a parallel heuristic algorithm to search the space of possible trajectories. The duration of the simulations takes from minutes to a few hours. Here we describe the implementation of the method and demonstrate CaverDock's usability by: (i) comparison of the results with other available tools, (ii) determination of the robustness with large ensembles of ligands and (iii) the analysis and comparison of the ligand trajectories in engineered tunnels. Thorough testing confirms that CaverDock is applicable for the fast analysis of ligand binding and unbinding in fundamental enzymology and protein engineering. AVAILABILITY AND IMPLEMENTATION: User guide and binaries for Ubuntu are freely available for non-commercial use at https://loschmidt.chemi.muni.cz/caverdock/. The web implementation is available at https://loschmidt.chemi.muni.cz/caverweb/. The source code is available upon request. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Ondrej Vavra, Jiri Filipovic, Jan Plhak, David Bednar, Sérgio M. Marques, Jan Brezovsky, Jan Stourac, Ludek Matyska, Jirí Damborský |
Bioinform. | 3 |