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Roman Körner

dblp:84/1353 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2008
0000-0001-9285-9290ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › proteomics
phosphoproteomics
0.112008
Comparative conservation analysis of the human mitotic phosphoproteome · Bioinform. 2008
Bioinformatics and computational biology › molecular evolution
evolutionary conservation analysis
0.012008
Comparative conservation analysis of the human mitotic phosphoproteome · Bioinform. 2008

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

z-score · 0.1statistical analysis · 0.1
YearPublicationVenuePosition
2008 Comparative conservation analysis of the human mitotic phosphoproteome
abstract
MOTIVATION: A key challenge in phosphoproteomic studies is to distinguish functionally relevant phosphorylation sites from potentially 'silent' phosphorylation. Considering that relevant phosphorylation sites are expected to be better conserved during evolution than overall Serine, Threonine and Tyrosine (S/ T/ Y) residues, we asked whether this can be directly demonstrated through statistic analysis, using a large experimental dataset. RESULTS: Analyzing phosphoproteomic data derived from the human mitotic spindle apparatus, we found that 95.2% of 1744 phosphorylation sites are conserved in at least one of six other vertebrate species. Using a new score, termed conservation Z-score (CZ-score), we demonstrate that phosphorylation sites are significantly better conserved than other S/T/Y sites, a conclusion validated from several kinase consensus motifs. Most importantly, phosphorylation sites with experimentally verified biological functions were significantly better conserved than other phosphorylation sites, indicating that analysis utilizing evolutionary conservation may constitute a powerful basis for the development of improved phosphorylation site predictors. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Rainer Malik, Erich A. Nigg, Roman Körner
Bioinform.3