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6 | 6 | mg_eps = 0.11 |
7 | 7 | mg_eps_ho = 0.13 |
8 | 8 | mg_sig_ho = 0.1782 |
9 | | -mg_eps_no = 0.10 |
| 9 | +mg_eps_no = 0.13 |
10 | 10 | mg_sig_no = 0.2673 |
11 | 11 | mg_eps_ch3 = 0.130 |
12 | 12 | mg_eps_ch2 = 0.120 |
13 | | -mg_eps_ch1 = 0.09 |
| 13 | +mg_eps_ch1 = 0.100 |
14 | 14 |
|
15 | 15 | # Dataframe with GROMOS atom types and associated parameters |
16 | 16 | gromos_atp = pd.DataFrame( |
|
72 | 72 | 1.0000000e-06 / 1.27911 * mg_eps_ch1, # "O", |
73 | 73 | 7.4149321e-07 / 1.72504 * mg_eps_ch1, # "OM", |
74 | 74 | 1.5055290e-06 / 0.84961 * mg_eps_ch1, # "OA", |
75 | | - 2.3195290e-06 / 0.63980 * mg_eps, # "N", |
| 75 | + 2.3195290e-06 / 0.63980 * mg_eps_ch1, # "N", |
76 | 76 | 5.0625000e-06 / 0.29314 * mg_eps_ch1, # "NT", |
77 | 77 | 2.3195290e-06 / 0.63980 * mg_eps_ch1, # "NL", |
78 | 78 | 3.3892810e-06 / 0.43786 * mg_eps_ch1, # "NR", |
|
98 | 98 | 0.0022619536 / 1.27911 * mg_eps_ch1, # "O", |
99 | 99 | 0.0022619536 / 1.72504 * mg_eps_ch1, # "OM", |
100 | 100 | 0.0022619536 / 0.84961 * mg_eps_ch1, # "OA", |
101 | | - 0.0024364096 / 0.63980 * mg_eps, # "N", |
| 101 | + 0.0024364096 / 0.63980 * mg_eps_ch1, # "N", |
102 | 102 | 0.0024364096 / 0.29314 * mg_eps_ch1, # "NT", |
103 | 103 | 0.0024364096 / 0.63980 * mg_eps_ch1, # "NL", |
104 | 104 | 0.0024364096 / 0.43786 * mg_eps_ch1, # "NR", |
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