QMEAN server for protein model quality estimation. Model quality estimation is an essential component of protein structure prediction, since ultimately the accuracy of a model determines its usefulness for specific applications. Usually, in the course of protein structure prediction a set of alternative models is produced, from which subsequently the most accurate model has to be selected. The QMEAN server provides access to two scoring functions successfully tested at the eighth round of the community-wide blind test experiment CASP. The user can choose between the composite scoring function QMEAN, which derives a quality estimate on the basis of the geometrical analysis of single models, and the clustering-based scoring function QMEANclust which calculates a global and local quality estimate based on a weighted all-against-all comparison of the models from the ensemble provided by the user. The web server performs a ranking of the input models and highlights potentially problematic regions for each model. The QMEAN server is available at http://swissmodel.expasy.org/qmean.

References in zbMATH (referenced in 7 articles )

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  3. Di Luccio, Eric; Koehl, Patrice: A quality metric for homology modeling: the H-factor (2011) ioport
  4. Kassler, Kristin; Meier, Julia; Eichler, Jutta; Sticht, Heinrich: Structural basis for species selectivity in the HIV-1 gp120-CD4 interaction: restoring affinity to gp120 in murine CD4 mimetic peptides (2011) ioport
  5. Duarte, Jose M.; Sathyapriya, Rajagopal; Stehr, Henning; Filippis, Ioannis; Lappe, Michael: Optimal contact definition for reconstruction of contact maps (2010) ioport
  6. Rykunov, Dmitry; Fiser, András: New statistical potential for quality assessment of protein models and a survey of energy functions (2010) ioport
  7. Benkert, Pascal; Künzli, Michael; Schwede, Torsten: QMEAN server for protein model quality estimation (2009) ioport