Demo Data from EDBT 2026 / reviewers in the wild / expert
D. Bordo
dblp:58/2575
· DBLP profile ↗
2ranked-venue papers
2as 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 · 2 · 2 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
2 papers |
Bioinformatics and computational biology · 100% |
Topics — the 2 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 |
0.0 | 2 | 1995 | Comparison of side chain interactions performed by structurally equivalent residues in homologous protein structures · Comput. Appl. Biosci. 1995 ENVIRON: a software package to compare protein three-dimensional structures with homologous sequences using local structural motifs · Comput. Appl. Biosci. 1993 |
Bioinformatics and computational biology › protein analysis › protein bioinformatics
protein function analysis |
0.0 | 1 | 1993 | ENVIRON: a software package to compare protein three-dimensional structures with homologous sequences using local structural motifs · Comput. Appl. Biosci. 1993 |
Methods — techniques the papers use, named apart from their topics
salt bridge identification · 0.0hydrogen bond identification · 0.0multiple sequence alignment · 0.0local environment analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | Comparison of side chain interactions performed by structurally equivalent residues in homologous protein structuresabstractThe present work describes the computer program Hom-Bond, which allows to identify and compare intra-molecular interactions performed by side chain polar atoms as observed in a family of homologous protein structures with known and conserved 3-D conformation. For this purpose, the side chain to side chain and the side chain to main chain hydrogen bonds, the disulfide and the salt bridges are identified in each considered protein structure. Subsequently, the side chain interactions are displayed according to the multiple sequence alignment. The presented approach allows to easily identify bonds which are conserved in homologous proteins and to analyse rearrangements of the network of side chain interactions that characterize each protein structure. D. Bordo |
Comput. Appl. Biosci. | 1 |
| 1993 | ENVIRON: a software package to compare protein three-dimensional structures with homologous sequences using local structural motifsabstractThis work presents a method to compare local clusters of interacting residues as observed in a known three-dimensional protein structure with corresponding clusters inferred from homologous protein sequences, assuming conserved protein folding. For this purpose the local environment of a selected residue in a known protein structure is defined as the ensemble of amino acids in contact with it in the folded state. Using a multiple sequence alignment to identify corresponding residues in homologous proteins, a detailed comparison can be performed between the local environment of a selected amino acid in the template protein structure and the expected local environments at the sets of equivalent residues, derived from the aligned protein sequences. The comparison makes it possible to detect conserved local features such as hydrogen bonding or complementarity in residue substitution. A global measure of environmental similarity is also defined, to search for conserved amino acid clusters subject to functional or structural constraints. The proposed approach is useful for investigating protein function as well as for site-directed mutagenesis experiments, where appropriate amino acid substitutions can be suggested by observing naturally occurring protein variants. D. Bordo |
Comput. Appl. Biosci. | 1 |