Demo Data from EDBT 2026 / reviewers in the wild / expert
M. Weir
dblp:44/6401
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1995
—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 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › protein structure analysis
protein sequence-structure analysis |
0.0 | 1 | 1995 | PdbAlign, PdbDist and DistAlign: tools to aid in relating sequence variability to structure · Comput. Appl. Biosci. 1995 |
Methods — techniques the papers use, named apart from their topics
structural annotation · 0.0multiple sequence alignment · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | PdbAlign, PdbDist and DistAlign: tools to aid in relating sequence variability to structureabstractMany sequence analysis problems involve consideration of a multiple sequence alignment where the 3-dimensional structure of one (or more) of the aligned sequences is known. In such cases, it is useful to map the sequence variability onto the atomic co-ordinates of known structure. If the structure also includes a bound ligand (or the location of the active site is known), each column position in the multiple sequence alignment may be annotated with its 'distance' from the binding site. These annotations, together with a measure of sequence variability, provide additional insights into drug specificity, for example among viral mutants. This paper describes several useful programs that automate this analysis. Roger A. Sayle, Mansoor A. S. Saqi, M. Weir, Andrew Lyall |
Comput. Appl. Biosci. | 3 |