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Russell L. Marsden

dblp:41/5517 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2007
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author

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 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics
structural genomics
0.012004
A practical and robust sequence search strategy for structural genomics target selection · Bioinform. 2004
Bioinformatics and computational biology › genomics › structural genomics
target selection
0.012004
A practical and robust sequence search strategy for structural genomics target selection · Bioinform. 2004
Bioinformatics and computational biology › protein structure prediction › template-based modeling
fold recognition
0.012004
A practical and robust sequence search strategy for structural genomics target selection · Bioinform. 2004
Bioinformatics and computational biology › sequence analysis
homology detection
0.012004
A practical and robust sequence search strategy for structural genomics target selection · Bioinform. 2004

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

two-threshold prioritization · 0.0SSEARCH · 0.0PSI-BLAST · 0.0
YearPublicationVenuePosition
2007 Towards a comprehensive structural coverage of completed genomes: a structural genomics viewpoint
abstract
BACKGROUND: Structural genomics initiatives were established with the aim of solving protein structures on a large-scale. For many initiatives, such as the Protein Structure Initiative (PSI), the primary aim of target selection is focussed towards structurally characterising protein families which, so far, lack a structural representative. It is therefore of considerable interest to gain insights into the number and distribution of these families, and what efforts may be required to achieve a comprehensive structural coverage across all protein families. RESULTS: In this analysis we have derived a comprehensive domain annotation of the genomes using CATH, Pfam-A and Newfam domain families. We consider what proportions of structurally uncharacterized families are accessible to high-throughput structural genomics pipelines, specifically those targeting families containing multiple prokaryotic orthologues. In measuring the domain coverage of the genomes, we show the benefits of selecting targets from both structurally uncharacterized domain families, whilst in addition, pursuing additional targets from large structurally characterised protein superfamilies. CONCLUSION: This work suggests that such a combined approach to target selection is essential if structural genomics is to achieve a comprehensive structural coverage of the genomes, leading to greater insights into structure and the mechanisms that underlie protein evolution.
Russell L. Marsden, Tony A. Lewis, Christine A. Orengo
BMC Bioinform.1
2004 A practical and robust sequence search strategy for structural genomics target selection
abstract
MOTIVATION: Target selection strategies for structural genomic projects must be able to prioritize gene regions on the basis of significant sequence similarity with proteins that have already been structurally determined. With the rapid development of protein comparison software a robust prioritization scheme should be independent of the choice of algorithm and be able to incorporate different sequence similarity thresholds. RESULTS: A robust target selection strategy has been developed that can assign a priority level to all genes in any genome. Structural assignments to genome sequences are calculated at two thresholds and six levels (1-6) describe the prioritization of all whole genes and partial gene regions. This simple two-threshold approach can be implemented with any fold recognition or homology detection algorithms. The results for 10 genomes are presented using the SSEARCH and PSI-BLAST programs. AVAILABILITY: Programs are available on request from the authors.
James E. Bray, Russell L. Marsden, Stuart C. G. Rison, Alexei Savchenko, Aled M. Edwards, Janet M. Thornton, Christine A. Orengo
Bioinform.2