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Christian L. Ried

dblp:131/9788 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2013
0009-0009-6382-8976ORCID · 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 › structural biology › protein structure and function
protein structure and interaction
0.212013
Self-interaction of transmembrane helices representing pre-clusters from the human single-span membrane proteins · Bioinform. 2013
Bioinformatics and computational biology › protein sequence analysis
protein sequence clustering
0.012013
Self-interaction of transmembrane helices representing pre-clusters from the human single-span membrane proteins · Bioinform. 2013

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

sequence similarity thresholding · 0.2mutational analysis · 0.2
YearPublicationVenuePosition
2013 Self-interaction of transmembrane helices representing pre-clusters from the human single-span membrane proteins
abstract
MOTIVATION: Most integral membrane proteins form dimeric or oligomeric complexes. Oligomerization is frequently supported by the non-covalent interaction of transmembrane helices. It is currently not clear how many high-affinity transmembrane domains (TMD) exist in a proteome and how specific their interactions are with respect to preferred contacting faces and their underlying residue motifs. RESULTS: We first identify a threshold of 55% sequence similarity, which demarcates the border between meaningful alignments of TMDs and chance alignments. Clustering the human single-span membrane proteome using this threshold groups ~40% of the TMDs. The homotypic interaction of the TMDs representing the 33 largest clusters was systematically investigated under standardized conditions. The results reveal a broad distribution of relative affinities. High relative affinity frequently coincides with (i) the existence of a preferred helix-helix interface and (ii) sequence specificity as indicated by reduced affinity after mutating conserved residues. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Jan Kirrbach, Miriam Krugliak, Christian L. Ried, Philipp Pagel, Isaiah T. Arkin, Dieter Langosch
Bioinform.3