Robert Kleinkauf

dblp:149/9517 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2016
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 2 · 2 first-authorArtificial intelligence and machine learning · 1

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 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › protein design
inverse protein folding
0.212015
antaRNA: ant colony-based RNA sequence design · Bioinform. 2015
Bioinformatics and computational biology › RNA biology › RNA analysis › RNA bioinformatics
RNA sequence design
0.212015
antaRNA: ant colony-based RNA sequence design · Bioinform. 2015
Bioinformatics and computational biology
synthetic biology
0.112015
antaRNA: ant colony-based RNA sequence design · Bioinform. 2015

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

metaheuristic · 0.2ant colony optimization · 0.2
YearPublicationVenuePosition
2016 RNAsynth: constraints learning for RNA inverse folding
Fabrizio Costa, Parastou Kohvaei, Robert Kleinkauf
ESANN3
2015 antaRNA: ant colony-based RNA sequence design
abstract
MOTIVATION: RNA sequence design is studied at least as long as the classical folding problem. Although for the latter the functional fold of an RNA molecule is to be found ,: inverse folding tries to identify RNA sequences that fold into a function-specific target structure. In combination with RNA-based biotechnology and synthetic biology ,: reliable RNA sequence design becomes a crucial step to generate novel biochemical components. RESULTS: In this article ,: the computational tool antaRNA is presented. It is capable of compiling RNA sequences for a given structure that comply in addition with an adjustable full range objective GC-content distribution ,: specific sequence constraints and additional fuzzy structure constraints. antaRNA applies ant colony optimization meta-heuristics and its superior performance is shown on a biological datasets. AVAILABILITY AND IMPLEMENTATION: http://www.bioinf.uni-freiburg.de/Software/antaRNA CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Robert Kleinkauf, Martin Raden, Rolf Backofen
Bioinform.1
2015 antaRNA - Multi-objective inverse folding of pseudoknot RNA using ant-colony optimization
abstract
BACKGROUND: Many functional RNA molecules fold into pseudoknot structures, which are often essential for the formation of an RNA's 3D structure. Currently the design of RNA molecules, which fold into a specific structure (known as RNA inverse folding) within biotechnological applications, is lacking the feature of incorporating pseudoknot structures into the design. Hairpin-(H)- and kissing hairpin-(K)-type pseudoknots cover a wide range of biologically functional pseudoknots and can be represented on a secondary structure level. RESULTS: The RNA inverse folding program antaRNA, which takes secondary structure, target GC-content and sequence constraints as input, is extended to provide solutions for such H- and K-type pseudoknotted secondary structure constraint. We demonstrate the easy and flexible interchangeability of modules within the antaRNA framework by incorporating pKiss as structure prediction tool capable of predicting the mentioned pseudoknot types. The performance of the approach is demonstrated on a subset of the Pseudobase ++ dataset. CONCLUSIONS: This new service is available via a standalone version and is also part of the Freiburg RNA Tools webservice. Furthermore, antaRNA is available in Galaxy and is part of the RNA-workbench Docker image.
Robert Kleinkauf, Torsten Houwaart, Rolf Backofen, Martin Raden
BMC Bioinform.1