Deep learning for the PSIPRED Protein Analysis Workbench

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

doi:10.1093/nar/gkae328

Deep learning for the PSIPRED Protein Analysis Workbench

Nucleic Acids Res. 2024 Jul 5;52(W1):W287-W293. doi: 10.1093/nar/gkae328.

Authors

Daniel W A Buchan¹, Lewis Moffat¹, Andy Lau¹, Shaun M Kandathil¹, David T Jones¹

Affiliation

¹ UCL Bioinformatics Group, Department of Computer Science, University College London, London, WC1E 6BT, UK.

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.

MeSH terms

Computational Biology / methods
Deep Learning*
Internet
Protein Conformation
Proteins* / chemistry
Proteins* / genetics
Sequence Analysis, Protein / methods
Software*

Substances

Proteins

Grants and funding

BB/T019379/1/BBSRC