What is a good Qmean value?

What is a good Qmean value?

QMEAN z-scores around zero indicate good agreement between the model structure and experimental structures of similar size. Models of low quality typically have scores of -4.0 or lower. The “thumbs-up” and “thumbs-down” symbols next to the score are used to indicate whether or not the model is of good quality (9).

What is GMQE?

GMQE (Global Model Quality Estimation) is is expressed as a number between 0 and 1, reflecting the expected accuracy of a model built with that alignment and template, normalized by the coverage of the target sequence. Higher numbers indicate higher reliability.

Why is SWISS-MODEL used?

SWISS-MODEL is a structural bioinformatics web-server dedicated to homology modeling of 3D protein structures. Homology modeling is currently the most accurate method to generate reliable three-dimensional protein structure models and is routinely used in many practical applications.


The QSQE score is a number between 0 and 1, reflecting the expected accuracy of the interchain contacts for a model built based a given alignment and template. In general a higher QSQE is “better”, while a value above 0.7 can be considered reliable to follow the predicted quaternary structure in the modelling process.

What is Qmean score?

QMEAN, which stands for Qualitative Model Energy ANalysis, is a composite scoring function describing the major geometrical aspects of protein structures. Five different structural descriptors are used. The local geometry is analyzed by a new kind of torsion angle potential over three consecutive amino acids.

What is Rmsd in protein structures?

Root mean square deviation (RMSD) is used for measuring the difference between the backbones of a protein from its initial structural conformation to its final position. The stability of the protein relative to its conformation can be determined by the deviations produced during the course of its simulation.

How does Swissmodel work?

How does the Swiss model work? Under a Swiss model-style system, teams play a set number of games rather than facing every other team in the league. In the case of the proposed 36-team Champions League, clubs are set to play 10 matches against opponents determined by a seeding system.

How can I become a Swiss model?

How build a model using the DeepView Project Mode

  1. Get the template in the correct quaternary state. First, check the correct biological assembly of your template protein.
  2. Remove all non-amino acid residues.
  3. Ensure unique chain IDs.
  4. Target sequence.
  5. Adjust target–template alignment in DeepView.
  6. SWISS-MODEL submission.

How does SWISS-MODEL work?

Is low RMSD good?

Lower the value of RMSD you are getting higher the accuracy of docking. And so no doubt RMSD values less than 1.5 Angstrom are always wise to consider.

What is a Qmean score?

How do you become a SWISS-MODEL?

What is SWISS-MODEL server?

is a fully automated protein structure homology-modelling server, accessible via the Expasy web server, or from the program DeepView (Swiss Pdb-Viewer). The purpose of this server is to make protein modelling accessible to all life science researchers worldwide.

How can I become a SWISS-MODEL?

What is a good RMSD protein?

The generally acceptable range of the RMSD when model is overlapped to template is 2 Å. But this rmsd cannot be considered as the only criteria for evaluation of the model constructed. Some deviations at times can be considered.

What is RMSD value?

The rmsd value gives the average deviation between the corresponding atoms of two proteins: the smaller the rmsd, the more similar the two structures. Efficient algorithms have been developed to find the best orientation of two structures that gives the minimal possible rmsd [2], [3].

What is root-mean-square deviation in molecular dynamics?

In bioinformatics, the root-mean-square deviation of atomic positions, or simply root-mean-square deviation (RMSD), is the measure of the average distance between the atoms (usually the backbone atoms) of superimposed proteins.