Demo Data from EDBT 2026 / reviewers in the wild / expert
Mandar S. Deshpande
dblp:175/2040
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0002-9043-7665ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 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
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 1 heaviest of 1, 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 |
Methods — techniques the papers use, named apart from their topics
molecular 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. | 4 |