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Philipp Junk

dblp:297/2964 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › protein structure prediction › template-based modeling
homology modeling
0.612022
HOMELETTE: a unified interface to homology modelling software · Bioinform. 2022
Bioinformatics and computational biology › protein structure prediction
model quality assessment
0.612022
HOMELETTE: a unified interface to homology modelling software · Bioinform. 2022
Bioinformatics and computational biology
protein structure prediction
0.612022
HOMELETTE: a unified interface to homology modelling software · Bioinform. 2022
YearPublicationVenuePosition
2022 HOMELETTE: a unified interface to homology modelling software
abstract
SUMMARY: 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