The ModFOLD server for the quality assessment of protein structural models

By Liam J. McGuffin. 2008

139 citations recorded by the source corpus.

Subfields: Materials Chemistry, Molecular Biology

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In Materials Chemistry

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Citations in the corpus

Intrinsic disorder prediction from the analysis of multiple protein fold recognition models (2008, methodology): “In addition, an option is available to obtain DISOclust predictions via the ModFOLD server (McGuffin, 2008), whereby users can upload multiple models of their own choice along with their target sequence.”
QMEAN server for protein model quality estimation (2009, methodology): “QMEANclust diﬀers from other consensus methods such as Pcons (12) or the consensus method included in the ModFOLD server (20) in that it takes advantage of an initial ranking of the individual models obtained by QMEAN in order to weight the contribution of the models in the clustering process.”
Evaluating the absolute quality of a single protein model using structural features and support vector machines (2009, background): “Single-model approaches25,36–40 can assign a score to a single model.”
Automated Protein Structure Modeling with SWISS-MODEL Workspace and the Protein Model Portal (2012, methodology): “The accuracy of a pre-computed model can be estimated using state of the art model quality estimation tools (43, 51, 58), directly from the “Model Details” page.”
How well can the accuracy of comparative protein structure models be predicted? (2008, methodology): “Fourth, we intend to develop a version of TSVMod using different feature types that will predict per-residue accuracy, in the spirit of similar approaches such as ModFOLDclust (McGuffin 2008), Prosa (Sippl 1993), FragQA (Gao et al.”