Demo Data from VLDB 2026 / reviewers in the wild / expert
Victoria A. Roberts
dblp:63/4860
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1995
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Parallel and multicore computing · 56% High-performance computing · 44% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
molecular interaction |
0.0 | 1 | 1995 | Surveying Molecular Interactions with DOT · SC 1995 |
Bioinformatics and computational biology › protein analysis
protein-protein interaction |
0.0 | 1 | 1995 | Surveying Molecular Interactions with DOT · SC 1995 |
High-performance computing › scientific computing systems
molecular dynamics simulation |
0.0 | 1 | 1995 | Surveying Molecular Interactions with DOT · SC 1995 |
Parallel and multicore computing
parallel computing |
0.0 | 1 | 1995 | Surveying Molecular Interactions with DOT · SC 1995 |
Parallel and multicore computing › parallelizing compiler
vectorization and parallelization |
0.0 | 1 | 1995 | Surveying Molecular Interactions with DOT · SC 1995 |
Methods — techniques the papers use, named apart from their topics
electrostatic potential energy computation · 0.0convolution · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | Surveying Molecular Interactions with DOTabstractThe purpose of the molecular interaction program DOT (Daughter of Turnip) is rapid computation of the electrostatic potential energy between two proteins or other charged molecules. DOT exhaustively tests all six degrees of freedom, rotational and translational, and produces a grid of approximate interaction energies and orientations. It is able to do this because the problem is cast as the convolution of the potential field of the first molecule and any rotated charge distribution of the second. The algorithm lends itself to both parallelization and vectorization, permitting huge increases in computational speed over other methods for obtaining the same information. For example, a complete mapping of interactions between plastocyanin and cytochrome c was done in eight minutes using 256 nodes of an Intel Paragon. DOT is expected to be particularly useful as a rapid screen to find configurations for more detailed study using exact energy models. Lynn F. Ten Eyck, Jeffrey Mandell, Victoria A. Roberts, Michael E. Pique |
SC | 3 |