Demo Data from SIGIR 2026 / reviewers in the wild / expert
Gengkon Lum
dblp:146/2444
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
—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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › computational structural biology
normal mode analysis |
0.2 | 1 | 2015 | The anisotropic network model web server at 2015 (ANM 2.0) · Bioinform. 2015 |
Bioinformatics and computational biology
protein dynamics |
0.2 | 1 | 2015 | The anisotropic network model web server at 2015 (ANM 2.0) · Bioinform. 2015 |
Methods — techniques the papers use, named apart from their topics
elastic network model · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | The anisotropic network model web server at 2015 (ANM 2.0)abstractSUMMARY: The anisotropic network model (ANM) is one of the simplest yet powerful tools for exploring protein dynamics. Its main utility is to predict and visualize the collective motions of large complexes and assemblies near their equilibrium structures. The ANM server, introduced by us in 2006 helped making this tool more accessible to non-sophisticated users. We now provide a new version (ANM 2.0), which allows inclusion of nucleic acids and ligands in the network model and thus enables the investigation of the collective motions of protein-DNA/RNA and -ligand systems. The new version offers the flexibility of defining the system nodes and the interaction types and cutoffs. It also includes extensive improvements in hardware, software and graphical interfaces. AVAILABILITY AND IMPLEMENTATION: ANM 2.0 is available at http://anm.csb.pitt.edu CONTACT: [email protected], [email protected]. Eran Eyal, Gengkon Lum, Ivet Bahar |
Bioinform. | 2 |