Demo Data from VLDB 2026 / reviewers in the wild / expert
Sreenath Nair
dblp:290/8080
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2023
0000-0002-6861-7627ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author · 2 since 2021
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% | |
| Databases, data mining, and information retrieval
1 paper |
Knowledge graphs · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › structural bioinformatics › protein structure representation
protein structure visualization |
0.7 | 1 | 2023 | PDBImages: a command-line tool for automated macromolecular structure visualization · Bioinform. 2023 |
Bioinformatics and computational biology
structural bioinformatics |
0.5 | 1 | 2021 | PDBe aggregated API: programmatic access to an integrative knowledge graph of molecular structure data · Bioinform. 2021 |
Knowledge graphs
knowledge graph querying |
0.5 | 1 | 2021 | PDBe aggregated API: programmatic access to an integrative knowledge graph of molecular structure data · Bioinform. 2021 |
Methods — techniques the papers use, named apart from their topics
graph database · 1.0molecular visualization · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | PDBImages: a command-line tool for automated macromolecular structure visualizationabstractSUMMARY: PDBImages is an innovative, open-source Node.js package that harnesses the power of the popular macromolecule structure visualization software Mol*. Designed for use by the scientific community, PDBImages provides a means to generate high-quality images for PDB and AlphaFold DB models. Its unique ability to render and save images directly to files in a browserless mode sets it apart, offering users a streamlined, automated process for macromolecular structure visualization. Here, we detail the implementation of PDBImages, enumerating its diverse image types, and elaborating on its user-friendly setup. This powerful tool opens a new gateway for researchers to visualize, analyse, and share their work, fostering a deeper understanding of bioinformatics. AVAILABILITY AND IMPLEMENTATION: PDBImages is available as an npm package from https://www.npmjs.com/package/pdb-images. The source code is available from https://github.com/PDBeurope/pdb-images. Adam Midlik, Sreenath Nair, Stephen Anyango, Mandar S. Deshpande, David Sehnal, Mihaly Varadi, Sameer Velankar |
Bioinform. | 2 |
| 2021 | PDBe aggregated API: programmatic access to an integrative knowledge graph of molecular structure dataabstractSUMMARY: The PDBe aggregated API is an open-access and open-source RESTful API that provides programmatic access to a wealth of macromolecular structural data and their functional and biophysical annotations through 80+ API endpoints. The API is powered by the PDBe graph database (https://pdbe.org/graph-schema), an open-access integrative knowledge graph that can be used as a discovery tool to answer complex biological questions. AVAILABILITY AND IMPLEMENTATION: The PDBe aggregated API provides up-to-date access to the PDBe graph database, which has weekly releases with the latest data from the Protein Data Bank, integrated with updated annotations from UniProt, Pfam, CATH, SCOP and the PDBe-KB partner resources. The complete list of all the available API endpoints and their descriptions are available at https://pdbe.org/graph-api. The source code of the Python 3.6+ API application is publicly available at https://gitlab.ebi.ac.uk/pdbe-kb/services/pdbe-graph-api. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Sreenath Nair, Mihaly Varadi, Nurul Nadzirin, Lukás Pravda, Stephen Anyango, Saqib Mir, John M. Berrisford, David R. Armstrong, Aleksandras Gutmanas, Sameer Velankar |
Bioinform. | 1 |