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. 2023 Jan 17;2:94. Originally published 2022 Aug 5. [Version 2] doi: 10.12688/openreseurope.14967.2

Table 2. Solution conditions and experimental radii of gyration of proteins simulated in this study but not included in the training set for the Bayesian parameter-learning procedure.

Protein N R g (nm) T (K) c s (M) pH Ref.
DSS1 71 2.5 ± 0.1 288 0.17 7.4 66
p27Cv14 107 2.936 ± 0.13 293 0.095 7.2 67
p27Cv15 107 2.915 ± 0.10 293 0.095 7.2 67
p27Cv31 107 2.81 ± 0.18 293 0.095 7.2 67
p27Cv44 107 2.492 ± 0.13 293 0.095 7.2 67
p27Cv56 107 2.328 ± 0.10 293 0.095 7.2 67
p27Cv78 107 2.211 ± 0.03 293 0.095 7.2 67
PTMA 111 3.7 ± 0.2 288 0.16 7.4 66
NHE6cmdd 116 3.2 ± 0.2 288 0.17 7.4 66
A1 LCD∗ 131 2.645 ± 0.02 293 0.05 7.5 68
A1 LCD∗ 131 2.65 ± 0.02 293 0.15 7.5 68
A1 LCD∗ 131 2.62 ± 0.02 293 0.3 7.5 68
A1 LCD∗ 131 2.528 ± 0.02 293 0.5 7.5 68
ANAC046 167 3.6 ± 0.3 298 0.14 7.0 66
Tau 2N3R 410 6.3 ± 0.3 298 0.15 7.4 62
Tau 2N4R 441 6.7 ± 0.3 298 0.15 7.4 62