Demo Data from EDBT 2026 / reviewers in the wild / expert
Dmitry Lupyan
dblp:17/3117
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2005
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › protein structure analysis › protein structure alignment
multiple structure alignment |
0.1 | 1 | 2005 | A new progressive-iterative algorithm for multiple structure alignment · Bioinform. 2005 |
Bioinformatics and computational biology
structural bioinformatics |
0.1 | 1 | 2005 | A new progressive-iterative algorithm for multiple structure alignment · Bioinform. 2005 |
Bioinformatics and computational biology › structural bioinformatics
protein structure classification |
0.0 | 1 | 2005 | A new progressive-iterative algorithm for multiple structure alignment · Bioinform. 2005 |
Methods — techniques the papers use, named apart from their topics
progressive-iterative alignment · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | A new progressive-iterative algorithm for multiple structure alignmentabstractMOTIVATION: Multiple structure alignments are becoming important tools in many aspects of structural bioinformatics. The current explosion in the number of available protein structures demands multiple structural alignment algorithms with an adequate balance of accuracy and speed, for large scale applications in structural genomics, protein structure prediction and protein classification. RESULTS: A new multiple structural alignment program, MAMMOTH-mult, is described. It is demonstrated that the alignments obtained with the new method are an improvement over previous manual or automatic alignments available in several widely used databases at all structural levels. Detailed analysis of the structural alignments for a few representative cases indicates that MAMMOTH-mult delivers biologically meaningful trees and conservation at the sequence and structural levels of functional motifs in the alignments. An important improvement over previous methods is the reduction in computational cost. Typical alignments take only a median time of 5 CPU seconds in a single R12000 processor. MAMMOTH-mult is particularly useful for large scale applications. AVAILABILITY: http://ub.cbm.uam.es/mammoth/mult. Dmitry Lupyan, Alejandra Leo-Macias, Angel R. Ortiz |
Bioinform. | 1 |