2008
DOI: 10.1186/1471-2105-9-403
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MetaMQAP: A meta-server for the quality assessment of protein models

Abstract: Background: Computational models of protein structure are usually inaccurate and exhibit significant deviations from the true structure. The utility of models depends on the degree of these deviations. A number of predictive methods have been developed to discriminate between the globally incorrect and approximately correct models. However, only a few methods predict correctness of different parts of computational models. Several Model Quality Assessment Programs (MQAPs) have been developed to detect local ina… Show more

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Cited by 158 publications
(126 citation statements)
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References 59 publications
(69 reference statements)
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“…First, MetaMQAPII, an updated version of a method described in [35]. In particular, we used the values of predicted global distance test total score (GDT_TS) for the evaluation of the global accuracy of the models (the higher GDT_TS, the better) and the predicted deviation of individual residues as a measure of predicted local accuracy (the lower the predicted deviation the better).…”
Section: Protein Model Quality Assessmentmentioning
confidence: 99%
“…First, MetaMQAPII, an updated version of a method described in [35]. In particular, we used the values of predicted global distance test total score (GDT_TS) for the evaluation of the global accuracy of the models (the higher GDT_TS, the better) and the predicted deviation of individual residues as a measure of predicted local accuracy (the lower the predicted deviation the better).…”
Section: Protein Model Quality Assessmentmentioning
confidence: 99%
“…Model quality assessment was performed iteratively using MetaMQAP (Pawlowski et al, 2008). Stability tests were done by molecular dynamics simulations with NAMD (Phillips et al, 2005) using a Charmm27 force field on a high-performance computing facility.…”
Section: Internal Model Assessmentmentioning
confidence: 99%
“…The homology models were assessed using DOPE Z score (Shen and Sali 2006) and model evaluation algorithms provided by the MetaMQAPII server (Pawlowski et al 2008). Generally, models with a DOPE Z score lower than -1 are likely to be native like.…”
Section: Homology Models Of Chemotaxis Proteinsmentioning
confidence: 99%
“…When needed, problematic loops were refined using MODELLER. The models were evaluated based on their Discrete Optimized Protein Energy (DOPE Z) scores and MetaMQAPII results (Pawlowski et al 2008). …”
Section: Homology Modelling and Validationmentioning
confidence: 99%