Demo Data from VLDB 2026 / reviewers in the wild / expert
Philipp Junk
dblp:297/2964
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2022
0000-0002-5228-3896ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › protein structure prediction › template-based modeling
homology modeling |
0.6 | 1 | 2022 | HOMELETTE: a unified interface to homology modelling software · Bioinform. 2022 |
Bioinformatics and computational biology › protein structure prediction
model quality assessment |
0.6 | 1 | 2022 | HOMELETTE: a unified interface to homology modelling software · Bioinform. 2022 |
Bioinformatics and computational biology
protein structure prediction |
0.6 | 1 | 2022 | HOMELETTE: a unified interface to homology modelling software · Bioinform. 2022 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | HOMELETTE: a unified interface to homology modelling softwareabstractSUMMARY: Homology modelling, the technique of generating models of 3D protein structures based on experimental structures from related proteins, has become increasingly popular over the years. An abundance of different tools for model generation and model evaluation is available from various research groups. We present HOMELETTE, an interface which implements a unified programmatic access to these tools. This allows for the assemble of custom pipelines from pre- or self-implemented building blocks. AVAILABILITY AND IMPLEMENTATION: HOMELETTE is implemented in Python, compatible with version 3.6 and newer. It is distributed under the MIT license. Documentation and tutorials are available at Read the Docs (https://homelette.readthedocs.io/). The latest version of HOMELETTE is available on PyPI (https://pypi.org/project/homelette/) and GitHub (https://github.com/PhilippJunk/homelette). A full installation of the latest version of HOMELETTE with all dependencies is also available as a Docker container (https://hub.docker.com/r/philippjunk/homelette_template). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Philipp Junk, Christina Kiel |
Bioinform. | 1 |