Cookies disclaimer
This website saves small pieces of text information (cookies) on your device in order to deliver better content and for statistical purposes. Only essential cookies are stored. You can disable the usage of cookies by changing the settings of your browser. By browsing our website without changing the browser settings you grant us permission to store that information on your device.
Forecasting of DCA prediction accuracy
Introduction
This page includes information about our studies on the forecasting of DCA contact prediction accuracy. The studies were published in article with reference given in the
How to cite section below.
Download
Training.zip - all data used to train models including files with: PDB, DSSP, MSA, DCA results, PSICOV results, and calculated parameters. The list of all domains is also included.
Test.zip - all data used to test models including files with: PDB, MSA, DCA results, PSICOV results, ACCpro results, SSpro results, and calculated parameters. The list of all chains is also included.
Models.zip - all models built with R scripts on the data from Training.zip.
Java_Scripts.zip - documented Java scripts used to calculate parameters which are later used by models to predict PPV of DCA.
R_Scripts.zip - documented R scripts used to train and test models which are trained or tested on parameters calculated with Java scripts.
How to cite
If you used our data please cite:
Wozniak PP, Konopka BM, Xu J, Vriend G, Kotulska M,
Forecasting residue-residue contact prediction accuracy ,
Bioinformatics , 2017 Jun (article accepted for publication), doi:10.1093/bioinformatics/btx416
Contact