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| This is part of the isdb module |
Calculates NOE intensities as sums of 1/r^6, also averaging over multiple equivalent atoms or ambiguous NOE.
Each NOE is defined by two groups containing the same number of atoms, distances are calculated in pairs, transformed in 1/r^6, summed and saved as components.
\[ NOE() = (\frac{1}{N_{eq}}\sum_j^{N_{eq}} (\frac{1}{r_j^6})) \]
NOE can be used to calculate a Metainference score over one or more replicas using the intrinsic implementation of METAINFERENCE that is activated by DOSCORE.
The names of the components in this action can be customized by the user in the actions input file. However, in addition to these customizable components the following quantities will always be output
| Quantity | Description |
| sigma | uncertainty parameter |
| sigmaMean | uncertainty in the mean estimate |
| acceptSigma | MC acceptance |
| noe | the # NOE |
In addition the following quantities can be calculated by employing the keywords listed below
| Quantity | Keyword | Description |
| acceptScale | SCALEDATA | MC acceptance |
| weight | REWEIGHT | weights of the weighted average |
| biasDer | REWEIGHT | derivatives wrt the bias |
| scale | SCALEDATA | scale parameter |
| offset | ADDOFFSET | offset parameter |
| ftilde | GENERIC | ensemble average estimator |
| exp | ADDEXP | the # NOE experimental distance |
| GROUPA | the atoms involved in each of the contacts you wish to calculate. Keywords like GROUPA1, GROUPA2, GROUPA3,... should be listed and one contact will be calculated for each ATOM keyword you specify. You can use multiple instances of this keyword i.e. GROUPA1, GROUPA2, GROUPA3... |
| GROUPB | the atoms involved in each of the contacts you wish to calculate. Keywords like GROUPB1, GROUPB2, GROUPB3,... should be listed and one contact will be calculated for each ATOM keyword you specify. You can use multiple instances of this keyword i.e. GROUPB1, GROUPB2, GROUPB3... |
| NOISETYPE | ( default=MGAUSS ) functional form of the noise (GAUSS,MGAUSS,OUTLIERS,MOUTLIERS,GENERIC) |
| LIKELIHOOD | ( default=GAUSS ) the likelihood for the GENERIC metainference model, GAUSS or LOGN |
| DFTILDE | ( default=0.1 ) fraction of sigma_mean used to evolve ftilde |
| SCALE0 | ( default=1.0 ) initial value of the scaling factor |
| SCALE_PRIOR | ( default=FLAT ) either FLAT or GAUSSIAN |
| OFFSET0 | ( default=0.0 ) initial value of the offset |
| OFFSET_PRIOR | ( default=FLAT ) either FLAT or GAUSSIAN |
| SIGMA0 | ( default=1.0 ) initial value of the uncertainty parameter |
| SIGMA_MIN | ( default=0.0 ) minimum value of the uncertainty parameter |
| SIGMA_MAX | ( default=10. ) maximum value of the uncertainty parameter |
| OPTSIGMAMEAN | ( default=NONE ) Set to NONE/SEM to manually set sigma mean, or to estimate it on the fly |
| WRITE_STRIDE | ( default=1000 ) write the status to a file every N steps, this can be used for restart/continuation |
| NUMERICAL_DERIVATIVES | ( default=off ) calculate the derivatives for these quantities numerically |
| DOSCORE | ( default=off ) activate metainference |
| NOENSEMBLE | ( default=off ) don't perform any replica-averaging |
| REWEIGHT | ( default=off ) simple REWEIGHT using the ARG as energy |
| SCALEDATA | ( default=off ) Set to TRUE if you want to sample a scaling factor common to all values and replicas |
| ADDOFFSET | ( default=off ) Set to TRUE if you want to sample an offset common to all values and replicas |
| NOPBC | ( default=off ) ignore the periodic boundary conditions when calculating distances |
| ADDEXP | ( default=off ) Set to TRUE if you want to have fixed components with the experimental reference values. |
| ARG | the input for this action is the scalar output from one or more other actions. The particular scalars that you will use are referenced using the label of the action. If the label appears on its own then it is assumed that the Action calculates a single scalar value. The value of this scalar is thus used as the input to this new action. If * or *.* appears the scalars calculated by all the proceding actions in the input file are taken. Some actions have multi-component outputs and each component of the output has a specific label. For example a DISTANCE action labelled dist may have three componets x, y and z. To take just the x component you should use dist.x, if you wish to take all three components then use dist.*.More information on the referencing of Actions can be found in the section of the manual on the PLUMED Getting Started. Scalar values can also be referenced using POSIX regular expressions as detailed in the section on Regular Expressions. To use this feature you you must compile PLUMED with the appropriate flag. You can use multiple instances of this keyword i.e. ARG1, ARG2, ARG3... |
| AVERAGING | Stride for calculation of averaged weights and sigma_mean |
| SCALE_MIN | minimum value of the scaling factor |
| SCALE_MAX | maximum value of the scaling factor |
| DSCALE | maximum MC move of the scaling factor |
| OFFSET_MIN | minimum value of the offset |
| OFFSET_MAX | maximum value of the offset |
| DOFFSET | maximum MC move of the offset |
| DSIGMA | maximum MC move of the uncertainty parameter |
| SIGMA_MEAN0 | starting value for the uncertainty in the mean estimate |
| TEMP | the system temperature - this is only needed if code doesnt' pass the temperature to plumed |
| MC_STEPS | number of MC steps |
| MC_STRIDE | MC stride |
| MC_CHUNKSIZE | MC chunksize |
| STATUS_FILE | write a file with all the data usefull for restart/continuation of Metainference |
| SELECTOR | name of selector |
| NSELECT | range of values for selector [0, N-1] |
| RESTART | allows per-action setting of restart (YES/NO/AUTO) |
| NOEDIST | Add an experimental value for each NOE. You can use multiple instances of this keyword i.e. NOEDIST1, NOEDIST2, NOEDIST3... |
NOE ... GROUPA1=1,3 GROUPB1=2,2 GROUPA2=5 GROUPB2=7 GROUPA3=4,4,8,8 GROUPB3=15,16,15,16 DOSCORE LABEL=noes ... NOE PRINT ARG=noes.* FILE=colvar
1.8.14