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About QDistance
As shown in Figure 1, QDistance works for both single-model and multi-models inputs.We designed several distance-based features to assess the agreement between the predicted and modelderived inter-residue distances. Together with a few widely used features, they are fed into a simple yet powerful linear regression model to infer the global QA scores.The local QA scores for each structure model are predicted based on a comparative analysis with a set of selected reference models.
(1) For single-model input, the reference models are predicted by trRosetta.
(2) For multi-models input, the reference models are selected from the input based on the predicted global QA scores.
Figure 1. The flowchart of the QDistance algorithm.
Predicted QDistance-single result
Figure 2. The predicted QDistance-single result.
Predicted QDistance-cluster result
Figure 3. The predicted QDistance-cluster result.
How to cite QDistance?
Please cite the following article when you use the QDistance server:Need more help?
If you have more questions or comments about the server, please email yangjy
sdu.edu.cn.