Evidence map›Paper›PMID 34954790›Full record

ArticleBioinformatics (Oxford, England)2022

HOMELETTE: a unified interface to homology modelling software.

Philipp Junk, Christina Kiel

Erratum issuedAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Protein Structure Prediction Methods.Advances in experimental medicine and biology · 2026
    Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Philipp JunkSystems Biology Ireland and UCD Charles Institute of Dermatology, School of Medicine, University College Dublin, Dublin 4, Ireland.ORCID 0000-0002-5228-3896
Christina KielSystems Biology Ireland and UCD Charles Institute of Dermatology, School of Medicine, University College Dublin, Dublin 4, Ireland.

Funding

Quantitative and systems analysis of (patho)physiological signaling networks 16/FRL/3886Science Foundation Ireland (SFI)
6 · The paper itself

Abstract

summaryHomology 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.

Indexed as

DocumentationSoftware

Identifiers

PMID34954790
PMCPMC8896651

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.