Improving homology modeling from low-sequence identity templates in Rosetta: A case study in GPCRs
Fig 2
Comparison of single template modeling methods with peptide insertion.
Using only a subset of receptors and templates that were available in our original GPCR modeling benchmark (yellow in S2 Table), 100 models were generated using either a single high identity template or the best template available below 40%. Original results from the 2013 benchmark [22] are displayed in black. Using the hybridize code with the same original templates dramatically improved the results across all measures (medium grey). Using a low identity template in hybridize (light grey) expectedly worsened the results compared to the high identity template but was either better or comparable with the original threading alone algorithm.