Organizational Information

Name

Name of this Object.

Format: Single

Class: String

Programmatic Pattern: _String

Pattern Description: A string.

ID

ID of this Object.

Format: Single

Class: String

Programmatic Pattern: _String

Pattern Description: The ID of this object.

Object

Object of this Object.

Format: Single

Class: Expression

Programmatic Pattern: Object[Analysis, BindingKinetics, _String]

Pattern Description: The object reference of this object.

Type

Type of this Object.

Format: Single

Class: Expression

Programmatic Pattern: Object[Analysis, BindingKinetics]

Pattern Description: Object[Analysis, BindingKinetics]

Notebook

Notebook this object belongs to.

Format: Single

Class: Link

Programmatic Pattern: _Link

Pattern Description: An object of that matches ObjectP[Object[LaboratoryNotebook]].

Relation: Object[LaboratoryNotebook][Objects]

Author

The person who ran the analysis.

Format: Single

Class: Link

Programmatic Pattern: _Link

Relation: Object[User]

General

UnresolvedOptions

The initial options entered into the analysis function that generated this object, along with the default values for any unspecified options.

Format: Single

Class: Compressed

Programmatic Pattern: {_Rule...}

ResolvedOptions

The final options used by the analysis function, after automatic options have been determined from the input and unresolved options.

Format: Single

Class: Compressed

Programmatic Pattern: {_Rule...}

Reference

The objects containing the source data used in this analysis.

Format: Multiple

Class: Link

Programmatic Pattern: _Link

ReferenceField

The field in the Reference object containing the source data.

Format: Single

Class: Expression

Programmatic Pattern: FieldP[Output -> Short]

Solution

The sample for which the kinetics analysis was performed.

Format: Multiple

Class: Link

Programmatic Pattern: _Link

Relation: Object[Sample]

FitMechanism

A ReactionMechanism containing some unknown kinetic rates, which is fitted by this analysis.

Format: Multiple

Class: Compressed

Programmatic Pattern: ReactionMechanismP

AssociationTrainingData

The association data that the kinetic rates are fit to.

Format: Multiple

Class: QuantityArray

Unit: ['1 second', '1 nanometer']

Programmatic Pattern: QuantityCoordinatesP[{Second, Nanometer}]

DissociationTrainingData

The dissociation data that the kinetic rates are fit to.

Format: Multiple

Class: QuantityArray

Unit: ['1 second', '1 nanometer']

Programmatic Pattern: QuantityCoordinatesP[{Second, Nanometer}]

Analysis & Reports

AssociationRates

The unknown rate variables from the FitMechanism along with their fitted values in 1/Molar*Second.

Format: Multiple

[[1]] Rate Variable Name

Header: Rate Variable Name

Class: Expression

Programmatic Pattern: _Symbol

[[2]] Fitted Value

Header: Fitted Value

Class: Real

Programmatic Pattern: NumericP

DissociationRates

The unknown rate variables from the FitMechanism along with their fitted values in 1/Second.

Format: Multiple

[[1]] Rate Variable Name

Header: Rate Variable Name

Class: Expression

Programmatic Pattern: _Symbol

[[2]] Fitted Value

Header: Fitted Value

Class: Real

Programmatic Pattern: NumericP

DissociationConstants

The Dissociation constant for the binding of the analyte to the surface bound ligand. If multiple interactions are indicated by the FitModel, a dissociation constant is reported for each interaction in the order it appears in the reaction mechanism.

Format: Multiple

Class: Real

Programmatic Pattern: NumericP

PredictedTrajectories

The kinetic trajectories predicted by the fit models.

Format: Multiple

Class: QuantityArray

Unit: ['1 second', '1 nanometer']

Programmatic Pattern: QuantityCoordinatesP[{Second, Nano Meter}]

NumberOfIterations

The number of steps required to by the optimizer to solve for the kinetic rates, which is a measure of how difficult the fitting was. For individual fits, the number of steps is given for each data set that was fit.

Format: Multiple

Class: Integer

Programmatic Pattern: GreaterEqualP[0, 1]

Residuals

The minimum value of the objective function, which is achieved at the solution of the optimization problem (i.e. the fitted rates). This is a measure of how well the fitted model matches the training data.

Format: Multiple

Class: Real

Programmatic Pattern: NumericP

IndividualFitRates

The list of unitless fit parameters for each set of data in cases where the fitting is performed on each data set individually.

Format: Multiple

[[1]] Rate Variable Name

Header: Rate Variable Name

Class: Expression

Programmatic Pattern: _Symbol

[[2]] Fitted Value

Header: Fitted Value

Class: Real

Programmatic Pattern: NumericP

Statistical Information

SumSquaredError

Sum of squared errors across all training trajectories and predicted trajectories.

Format: Single

Class: Real

Programmatic Pattern: GreaterEqualP[0]