Buchan, Daniel WA;
Moffat, Lewis;
Lau, Andy;
Kandathil, Shaun M;
Jones, David T;
(2024)
Deep learning for the PSIPRED Protein Analysis Workbench.
Nucleic Acids Research
, 52
(W1)
W287-W293.
10.1093/nar/gkae328.
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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.
| Type: | Article |
|---|---|
| Title: | Deep learning for the PSIPRED Protein Analysis Workbench |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1093/nar/gkae328 |
| Publisher version: | http://dx.doi.org/10.1093/nar/gkae328 |
| Language: | English |
| Additional information: | © The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | Science & Technology, Life Sciences & Biomedicine, Biochemistry & Molecular Biology, PREDICTION, ACCURACY |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10199741 |
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