Evidence map›Paper›PMID 38747351›Full record

ArticleNucleic acids research2024

Deep learning for the PSIPRED Protein Analysis Workbench.

Daniel W A Buchan, Lewis Moffat, Andy Lau, Shaun M Kandathil, David T Jones

Abstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. MultilevelCurrent research in structural biology · 2026
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  9. RSC chemical biology · 2026
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  16. bioRxiv : the preprint server for biology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Daniel W A BuchanUCL Bioinformatics Group, Department of Computer Science, University College London, London, WC1E 6BT, UK.ORCID 0000-0001-7391-4696
Lewis MoffatUCL Bioinformatics Group, Department of Computer Science, University College London, London, WC1E 6BT, UK.
Andy LauUCL Bioinformatics Group, Department of Computer Science, University College London, London, WC1E 6BT, UK.
Shaun M KandathilUCL Bioinformatics Group, Department of Computer Science, University College London, London, WC1E 6BT, UK.ORCID 0000-0002-2671-2140
David T JonesUCL Bioinformatics Group, Department of Computer Science, University College London, London, WC1E 6BT, UK.

Funding

BBSRC BB/T019379/1
6 · The paper itself

Abstract

The PSIRED Workbench is a long established and popular bioinformatics web service offering a wide range of machine learning based analyses for characterizing protein structure and function. In this paper we provide an update of the recent additions and developments to the webserver, with a focus on new Deep Learning based methods. We briefly discuss some trends in server usage since the publication of AlphaFold2 and we give an overview of some upcoming developments for the service. The PSIPRED Workbench is available at http://bioinf.cs.ucl.ac.uk/psipred.

Indexed as

Deep LearningProteinsSoftwareComputational BiologyInternetProtein ConformationSequence Analysis, ProteinProteins

Identifiers

PMID38747351
PMCPMC11223827

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.