Using multiple templates to improve quality of homology models in automated homology modeling

By Per Larsson, Björn Wallner, Erik Lindahl, Arne Elofsson. 2008

159 citations recorded by the source corpus.

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In Molecular Biology

Citations in the corpus

Improving homology modeling from low-sequence identity templates in Rosetta: A case study in GPCRs (2020, methodology): “Previous work in multiple template homology modeling suggested that there is a goldilocks effect in which multiple templates are better than one but too many templates could actually hurt the modeling process [25].”
A position-specific distance-dependent statistical potential for protein structure and functional study (2012, neutral): “These 18 servers are BAKER- ROSETTASERVER (Raman et al., 2009), chunk-TASSER (Zhou et al., 2009), chuo-fams (Kanou et al., 2009), CLEF-Server (Shao et al., 2011), FAMSD (Kanou et al., 2009), gws (Joo et al., 2009), HHpredA (Hildebrand et al., 2009), Jiang_Assembly (Hu et al., 2011), MULTICOM-CLUSTER”
Improved model quality assessment using ProQ2 (2012, unknown): “One of the most common prediction approaches in use today is to produce many alternative models, either from different alignments and templates [1-4] or by sampling”
Automatic Prediction of Protein 3D Structures by Probabilistic Multi-template Homology Modeling (2015, background): “[30] assessed the effect of using a single or multiple templates on model quality and concluded that most of the gains are due to increased coverage of query residues by template residues.”
Improvement of 3D protein models using multiple templates guided by single-template model quality assessment (2012, methodology): “…of using multiple-template methods is mainly attributed either to the increased alignment coverage or the incorporation of the best single template, which is dependent on alignment accuracy (Larsson et al., 2008) and template complementarity (Chakravarty et al., 2008; Peng and Xu, 2011a,b).”