Metadisorder – Prediction of Intrinsically Unstructured Proteins (protein disorder) from Amino Acid Sequence only

Metadisorder

:: DESCRIPTION

GeneSilico MetaDisorder web service provides access to metapredictor designed to predict disorder in proteins using existing bioinformatics tools and machine learning.For final consensus 15 other protein disorder tools (DisEMBL, IUPred, DISPORED, etc.) and 8 fold recognition methods (HHsearch, mGenThreader, etc.) are used.Method was carefully benchmarked and validated using our own dataset and during blind tests CASP8 and CASP9, always showing superirority in comparision to methods.

::DEVELOPER

Lukasz Kozlowski from Laboratory of Bioinformatics and Protein Engineering at The International Institute of Molecular and Cell Biology in Warsawa

:: SCREENSHOTS

:: REQUIREMENTS

  • any web browser
:: DOWNLOAD

  no (only web service)

:: MORE INFORMATION

Citation

Kozlowski LP, Bujnicki JM.
MetaDisorder: a meta-server for the prediction of intrinsic disorder in proteins.
BMC Bioinformatics. 2012 May 24;13(1):111.

MeDor 1.4 – Metaserver for Predicting Protein Disorder

MeDor 1.4

:: DESCRIPTION

MeDor (Metaserver of Disorder) helps to identify protein disorder by providing a graphical interface with a unified view of the output of multiple disorder predictors. It allows fast, simultaneous analysis of a query sequence by multiple predictors and easy comparison of the prediction results. It also enables a standardized access to disorder predictors and allows meaningful comparisons among various query sequences.

::DEVELOPER

Sonia LONGHI

:: SCREENSHOTS

:: REQUIREMENTS

  • Linux / Windows / MacOsX
  • Java

:: DOWNLOAD

  MeDor

:: MORE INFORMATION

Citation

MeDor: a metaserver for predicting protein disorder.”
Philippe Lieutaud, Bruno Canard and Sonia Longhi.
BMC Genomics. 2008 Sep 16;9 Suppl 2:S25.PMID:18831791