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. 2019 May 15;180(3):1362–1374. doi: 10.1104/pp.19.00447

Table 2. Identification of Rossmann folds and prediction of cofactor specificity for wild-type and mutant VvLAR2 proteins.

The amino acids used in the analysis are wild-type LAR2 from 'Cabernet Sauvignon' (VvLAR2-CS), mutagenized proteins of VvLAR2-CS (VvLAR2-CS/K218E and VvLAR2-CS/V25E), LAR2 from 'Shiraz' (VvLAR2-Sh), and LAR1 from 'Cabernet Sauvignon' (VvLAR1-CS), which served as a positive control. Each identified Rossmann fold sequence domain is associated with three neural network scores calculated by the Cofactor V.1.0 server (Geertz-Hansen et al., 2014). A score above 0.5 indicates that the domain is predicted to be specific for the particular cofactor. The prediction scores are followed by a summary of the predicted cofactor specificity. Multiple specificities are separated with a slash. The approximate Rossmann fold sequence boundaries are provided next to the summary.

Sequence Domain FAD NAD NADP Cofactor(s) From To
VvLAR2-CS 1 0.149 0.362 0.757 NADP 19 64
2 0.000 0.616 0.121 NAD 62 113
VvLAR2-CS/K218E 1 0.149 0.362 0.757 NADP 19 64
2 0.000 0.616 0.121 NAD 62 113
VvLAR2-CS/V25E 1 0.027 0.239 0.498 21 113
VvLAR2-Sh 1 0.027 0.239 0.498 21 113
VvLAR1-CS 1 0.227 0.538 0.541 NAD/NADP 10 51
2 0.000 0.129 0.037 50 80