PSIPRED

PSIPRED
Original author(s)
  • David T. Jones
  • Daniel Buchan
  • Tim Nugent
  • Liam McGuffin
  • Federico Minneci
  • Kevin Bryson
Developer(s)University College London, Bioinformatics Group
Initial release1999; 25 years ago (1999)
Stable release
4.02 / 26 September 2018; 6 years ago (2018-09-26)[1]
Written inC
Operating systemWindows 2000, Unix
Platformx86, Java
Size14 MB
Available inEnglish
TypeBioinformatics secondary structure prediction
LicenseProprietary freeware source code
Websitebioinf.cs.ucl.ac.uk/psipred

PSI-blast based secondary structure PREDiction (PSIPRED) is a method used to investigate protein structure. It uses artificial neural network machine learning methods in its algorithm.[2][3][4] It is a server-side program, featuring a website serving as a front-end interface, which can predict a protein's secondary structure (beta sheets, alpha helixes and coils) from the primary sequence.

PSIPRED is available as a web service and as software. The software is distributed as source code, licensed technically as proprietary software. It allows modifying, but enforces freeware provisions by forbidding for-profit distribution of the software and its results.

  1. ^ "Index of /downloads/psipred". bioinfadmin.cs.ucl.ac.uk. Retrieved 26 April 2021.
  2. ^ Gajendra P. S. Raghava; Harpreet Kaur. "Prediction of beta turn types". Retrieved 5 May 2014.
  3. ^ Yi-Ping Phoebe Chen (18 January 2005). Bioinformatics Technologies. Springer. p. 107. ISBN 978-3-540-20873-0.
  4. ^ Cuff, James A.; Barton, Geoffrey A. (15 August 2000). "Application of multiple sequence alignment profiles to improve protein secondary structure prediction". Proteins. 40 (3): 502–11. doi:10.1002/1097-0134(20000815)40:3<502::aid-prot170>3.0.co;2-q. PMID 10861942.