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. 2018 Jan 26;9:384. doi: 10.1038/s41467-017-02592-z

Table 1.

Statistics of autoNOE-Rosetta structural ensembles computed using supervised and automated 4D-CHAINS assignments

Protein Assignment data Peaks RDCs used No. of residues Average Rosetta energy (REU) aFraction of residues converged (%) Mean RMSD (Å) to average structure
RTT Supervised HCNH 133 −239.66 98 0.86
HCNH+HCCH −247.31 98 0.71
TOCSY–NOESY HCNH 133 −243.63 99 1
HCNH+HCCH −243.32 95 0.94
ms6282 Supervised HCNH 145 −263.83 92 1.15
HCNH+HCCH −252.8 97 0.9
TOCSY–NOESY HCNH 145 −262.95 93 1.19
HCNH+HCCH −262.57 93 0.94
aLP Supervised HCNH 198 −324.46 99 0.84
HCNH+HCCH −328.5 100 0.64
TOCSY–NOESY HCNH 198 −274.79 86 1.49
HCNH+HCCH −300.55 91 1.27
nEIt Supervised HCNH Yesb 248 −487.79 60 3.75
HCNH+HCCH Yesb −475.61 84 1.4
TOCSY–NOESY HCNH Yesb 248 −479.54 60 4.07
HCNH+HCCH Yesb −491.05 91 1.36

a Convergence statistics calculated over core residues

b One RDC dataset was used to improve structure convergence

Average Rosetta energies (in Rosetta Energy Units (REU)) reported over 10 lowest-energy structures

All backbone heavy-atom RMSD relative to the average structure calculated over core residues