TY  - JOUR
TI  - Deep learning for the PSIPRED Protein Analysis Workbench
KW  - Science & Technology
KW  -  Life Sciences & Biomedicine
KW  -  Biochemistry & Molecular Biology
KW  -  PREDICTION
KW  -  ACCURACY
UR  - http://dx.doi.org/10.1093/nar/gkae328
SP  - W287
AV  - public
EP  - W293
JF  - Nucleic Acids Research
N1  - © 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.
SN  - 0305-1048
ID  - discovery10199741
VL  - 52
N2  - 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.
PB  - OXFORD UNIV PRESS
Y1  - 2024/07/05/
A1  - Buchan, Daniel WA
A1  - Moffat, Lewis
A1  - Lau, Andy
A1  - Kandathil, Shaun M
A1  - Jones, David T
IS  - W1
ER  -