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Katrin Schöning-Stierand

dblp:00/4934 · also Katrin Stierand · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2021
0000-0003-3248-8023ORCID · verified

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

Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author · 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
2 papers
Bioinformatics and computational biology · 100%
Databases, data mining, and information retrieval
1 paper
Data mining · 100%
Theoretical computer science
1 paper
Computational geometry · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
structural bioinformatics
0.622021
GeoMine: interactive pattern mining of protein-ligand interfaces in the Protein Data Bank · Bioinform. 2021
Molecular complexes at a glance: automated generation of two-dimensional complex diagrams · Bioinform. 2006
Bioinformatics and computational biology › protein analysis
protein-ligand interaction
0.512021
GeoMine: interactive pattern mining of protein-ligand interfaces in the Protein Data Bank · Bioinform. 2021
Data mining
pattern mining
0.112021
GeoMine: interactive pattern mining of protein-ligand interfaces in the Protein Data Bank · Bioinform. 2021
Bioinformatics and computational biology › structural bioinformatics
molecular complex visualization
0.112006
Molecular complexes at a glance: automated generation of two-dimensional complex diagrams · Bioinform. 2006
Computational geometry
graph drawing
0.112006
Molecular complexes at a glance: automated generation of two-dimensional complex diagrams · Bioinform. 2006

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

pattern mining · 1.0geometric query · 1.0combinatorial optimization · 0.1
YearPublicationVenuePosition
2021 GeoMine: interactive pattern mining of protein-ligand interfaces in the Protein Data Bank
abstract
SUMMARY: The searching of user-defined 3D queries in molecular interfaces is a computationally challenging problem that is not satisfactorily solved so far. Most of the few existing tools focused on that purpose are desktop based and not openly available. Besides that, they show a lack of query versatility, search efficiency and user-friendliness. We address this issue with GeoMine, a publicly available web application that provides textual, numerical and geometrical search functionality for protein-ligand binding sites derived from structural data contained in the Protein Data Bank (PDB). The query generation is supported by a 3D representation of a start structure that provides interactively selectable elements like atoms, bonds and interactions. GeoMine gives full control over geometric variability in the query while performing a deterministic, precise search. Reasonably selective queries are processed on the entire set of protein-ligand complexes in the PDB within a few minutes. GeoMine offers an interactive and iterative search process of successive result analyses and query adaptations. From the numerous potential applications, we picked two from the field of side-effect analyze showcasing the usefulness of GeoMine. AVAILABILITY AND IMPLEMENTATION: GeoMine is part of the ProteinsPlus web application suite and freely available at https://proteins.plus. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Konrad Diedrich, Joel Graef, Katrin Schöning-Stierand, Matthias Rarey
Bioinform.3
2006 Molecular complexes at a glance: automated generation of two-dimensional complex diagrams
abstract
MOTIVATION: In this paper a new algorithmic approach is presented, which automatically generates structure diagrams of molecular complexes. A complex diagram contains the ligand, the amino acids of the protein interacting with the ligand and the hydrophilic interactions schematized as dashed lines between the corresponding atoms. The algorithm is based on a combinatorial optimization strategy which solves parts of the layout problem non-heuristically. The depicted molecules are represented as structure diagrams according to the chemical nomenclature. Due to the frequent usage of complex diagrams in the scientific literature as well as in text books dealing with structural biology, biochemistry and medicinal chemistry, the new algorithm is a key element for computer applications in these areas. RESULTS: The method was implemented in the new software tool PoseView. It was tested on a representative dataset containing 305 protein-ligand complexes in total from the Brookhaven Protein Data Bank. PoseView was able to find collision-free layouts for more than three quarters of all complexes. In the following the layout generation algorithm is presented and, additional to the statistical results, representative test cases demonstrating the challenges of the layout generation will be discussed. AVAILABILITY: The method is available as a webservice at http://www.zbh.uni-hamburg.de/poseview.
Katrin Schöning-Stierand, Patrick C. Maaß, Matthias Rarey
Bioinform.1