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Raymond A. Dwek

dblp:74/3620 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none

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 bioinformatics › macromolecular structure analysis
glycan structure analysis
0.112008
GlycoBase and autoGU: tools for HPLC-based glycan analysis · Bioinform. 2008
Bioinformatics and computational biology › structural bioinformatics › macromolecular structure analysis
glycan structure assignment
0.112008
GlycoBase and autoGU: tools for HPLC-based glycan analysis · Bioinform. 2008

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

relational database · 0.1footprint analysis · 0.1
YearPublicationVenuePosition
2008 GlycoBase and autoGU: tools for HPLC-based glycan analysis
abstract
SUMMARY: The development of robust high-performance liquid chromatography (HPLC) technologies continues to improve the detailed analysis and sequencing of glycan structures released from glycoproteins. Here, we present a database (GlycoBase) and analytical tool (autoGU) to assist the interpretation and assignment of HPLC-glycan profiles. GlycoBase is a relational database which contains the HPLC elution positions for over 350 2-AB labelled N-glycan structures together with predicted products of exoglycosidase digestions. AutoGU assigns provisional structures to each integrated HPLC peak and, when used in combination with exoglycosidase digestions, progressively assigns each structure automatically based on the footprint data. These tools are potentially very promising and facilitate basic research as well as the quantitative high-throughput analysis of low concentrations of glycans released from glycoproteins. AVAILABILITY: http://glycobase.ucd.ie
Matthew P. Campbell, Louise Royle, Catherine M. Radcliffe, Raymond A. Dwek, Pauline M. Rudd
Bioinform.4