Demo Data from VLDB 2026 / reviewers in the wild / expert
Shravan Sukumar
dblp:185/8272
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none
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 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › gene regulation › binding site prediction
DNA-binding site prediction |
0.2 | 1 | 2016 | DBSI server: DNA binding site identifier · Bioinform. 2016 |
Bioinformatics and computational biology › computational structural biology
protein-nucleic acid interaction |
0.2 | 1 | 2016 | DBSI server: DNA binding site identifier · Bioinform. 2016 |
Bioinformatics and computational biology
protein structure analysis |
0.1 | 1 | 2016 | DBSI server: DNA binding site identifier · Bioinform. 2016 |
Bioinformatics and computational biology › structural bioinformatics
structure-based prediction |
0.1 | 1 | 2016 | DBSI server: DNA binding site identifier · Bioinform. 2016 |
Methods — techniques the papers use, named apart from their topics
support vector machine · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | DBSI server: DNA binding site identifierabstractUNLABELLED: : Protein-nucleic acid interactions are among the most important intermolecular interactions in the regulation of cellular events. Identifying residues involved in these interactions from protein structure alone is an important challenge. Here we introduce the webserver interface to DNA Binding Site Identifier (DBSI), a powerful structure-based SVM model for the prediction and visualization of DNA binding sites on protein structures. DBSI has been shown to be a top-performing model to predict DNA binding sites on the surface of a protein or peptide and shows promise in predicting RNA binding sites. AVAILABILITY AND IMPLEMENTATION: Server is available at http://dbsi.mitchell-lab.org CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Shravan Sukumar, Xiaolei Zhu 0001, Spencer S. Ericksen, Julie C. Mitchell |
Bioinform. | 1 |