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. Author manuscript; available in PMC: 2018 Sep 12.
Published in final edited form as: J Chem Theory Comput. 2017 Aug 31;13(9):4593–4603. doi: 10.1021/acs.jctc.7b00690

Table 1.

Algorithmic parameters

Fig/System Algorithm Parameters
Fig. 2B/hENM HB kϕ=103, 104kJmolrad2, ϕ¯=6.32°
Fig. 2C/hENM SGD A=10kBT, ϕ¯=6.32τ̅avg = from 1–100 ps
Fig. 2D/hENM SGD A=10kBT, τavg=10ps. ϕ¯:9.16°to25.2°(ϕ17°,σϕ4°
Fig. 3A (top)/hENM SGD τavg = 10 ps, A = 10kBT, ϕ¯=6.32°, d¯=20.62Å
Fig. 3A (top)/hENM Covar See above, but A = 1kBT
Fig. 3A (bottom)/hENM SGD τavg = 100 ps, A = 10kBT, ϕ¯=6.32°, ϕ2¯=40.86()2, d¯=20.62Å, d2¯=425.03Å2
Fig. 3A (top)/hENM Covar See above, but A = 1kBT
Fig. 3B/hENM Covar τavg = 100 ps, A = 1kBT, ϕ¯=6.32°, ϕ2¯=40.86()2, d¯=20.62Å, d2¯=425.03Å2
LM See above, with γ = 0.1,0.01
Adaptive LM See above, with γ0 = 0.1, m = 3, l = 1.2, LM_stride = 10
Fig. 4A (top), 4B/G-monomer HB kd=kϕ=5000kcalmolred2, ϕ¯=6.32°, d¯=20.62Å
Adaptive LM τavg = 100 ps, A = 10kBT, γ0 = 0.1
ϕ¯=6.32°, ϕ2¯=40.86()2, d¯=20.62Å, d2¯=425.03Å2, m = 3, l = 1.2, LM_stride = 100
Fig. 4A (bottom)/F-monomer Adaptive LM See above, except γ0 = 0.1
Frozen bias (after 80 ns of above) λϕ=10.2kcalmolrad, λϕ2=484.0kcalmolrad2, λd=2.2kcalmolÅ, λd2=6.63kcalmolÅ2
Fig. 5B,C LM τavg = 100ps, A = 1kBT, γ0 = 0.01
ϕA1¯=ϕA2¯=ϕA3¯=6.32°, dA1¯=dA2¯=dA3¯=20.6Å