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Nadine Ziemert

dblp:213/6455 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0002-7264-1857ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 1 · 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 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › protein function prediction
enzyme function prediction
1.012026
PhyloNaP: a user-friendly database of phylogeny for natural product-producing enzymes · Bioinform. 2026
Bioinformatics and computational biology
phylogenetics
1.012026
PhyloNaP: a user-friendly database of phylogeny for natural product-producing enzymes · Bioinform. 2026
Bioinformatics and computational biology › phylogenetics › phylogenetic inference
phylogenetic placement
1.012026
PhyloNaP: a user-friendly database of phylogeny for natural product-producing enzymes · Bioinform. 2026
YearPublicationVenuePosition
2026 PhyloNaP: a user-friendly database of phylogeny for natural product-producing enzymes
abstract
SUMMARY: Phylogenetic analysis is widely used to predict enzyme function, yet building annotated and reusable trees is labor-intensive and requires extensive knowledge about the specific enzymes. Existing resources rarely cover biosynthetic enzymes and lack the context needed for meaningful analysis. We present PhyloNaP, the first large-scale resource dedicated to phylogenies of biosynthetic enzymes. PhyloNaP provides ∼51 000 annotated and interactive trees enriched with chemical, functional, and taxonomic information. Users can classify their own sequences via phylogenetic placement, enabling functional inference in an evolutionary context. A contribution portal allows the community to submit curated trees. By combining scale, breadth of annotation, and interactive functionality, PhyloNaP fills a major gap in bioinformatics resources for enzyme discovery and annotation, with immediate applications to secondary metabolism and beyond. AVAILABILITY AND IMPLEMENTATION: Freely available on the web at https://phylonap.cs.uni-tuebingen.de.
Aleksandra Korenskaia, Martina Adamek, Judit Szenei, Lisa Vader, Kai Blin, Tillmann Weber, Nadine Ziemert
Bioinform.7