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Weronika Bagrowska

dblp:276/0549 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0003-1749-8514ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 1 since 2021

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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › structural bioinformatics
ligand transport analysis
0.412020
AQUA-DUCT 1.0: structural and functional analysis of macromolecules from an intramolecular voids perspective · Bioinform. 2020
Bioinformatics and computational biology
structural bioinformatics
0.412020
AQUA-DUCT 1.0: structural and functional analysis of macromolecules from an intramolecular voids perspective · Bioinform. 2020

Methods — techniques the papers use, named apart from their topics

molecular dynamics · 0.4ligand tracking · 0.4
YearPublicationVenuePosition
2022 Evolution of tunnels in α/β-hydrolase fold proteins - What can we learn from studying epoxide hydrolases?
abstract
The evolutionary variability of a protein's residues is highly dependent on protein region and function. Solvent-exposed residues, excluding those at interaction interfaces, are more variable than buried residues whereas active site residues are considered to be conserved. The abovementioned rules apply also to α/β-hydrolase fold proteins-one of the oldest and the biggest superfamily of enzymes with buried active sites equipped with tunnels linking the reaction site with the exterior. We selected soluble epoxide hydrolases as representative of this family to conduct the first systematic study on the evolution of tunnels. We hypothesised that tunnels are lined by mostly conserved residues, and are equipped with a number of specific variable residues that are able to respond to evolutionary pressure. The hypothesis was confirmed, and we suggested a general and detailed way of the tunnels' evolution analysis based on entropy values calculated for tunnels' residues. We also found three different cases of entropy distribution among tunnel-lining residues. These observations can be applied for protein reengineering mimicking the natural evolution process. We propose a 'perforation' mechanism for new tunnels design via the merging of internal cavities or protein surface perforation. Based on the literature data, such a strategy of new tunnel design could significantly improve the enzyme's performance and can be applied widely for enzymes with buried active sites.
Maria Bzówka, Karolina Mitusinska, Agata Raczynska, Tomasz Skalski, Aleksandra Samol, Weronika Bagrowska, Tomasz Magdziarz, Artur Góra
PLoS Comput. Biol.6
2020 AQUA-DUCT 1.0: structural and functional analysis of macromolecules from an intramolecular voids perspective
abstract
MOTIVATION: Tunnels, pores, channels, pockets and cavities contribute to proteins architecture and performance. However, analysis and characteristics of transportation pathways and internal binding cavities are performed separately. We aimed to provide universal tool for analysis of proteins integral interior with access to detailed information on the ligands transportation phenomena and binding preferences. RESULTS: AQUA-DUCT version 1.0 is a comprehensive method for macromolecules analysis from the intramolecular voids perspective using small ligands as molecular probes. This version gives insight into several properties of macromolecules and facilitates protein engineering and drug design by the combination of the tracking and local mapping approach to small ligands. AVAILABILITY AND IMPLEMENTATION: http://www.aquaduct.pl. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Tomasz Magdziarz, Karolina Mitusinska, Maria Bzówka, Agata Raczynska, Agnieszka Stanczak, Michal Banas, Weronika Bagrowska, Artur Góra
Bioinform.7