R/TP-library_formula.R
genFormulaTPLibrary.RdFunctionality to automatically generate a TP library with formula data from a set of transformation rules, which can
be used with generateTPsLibraryFormula. TP calculation will be skipped if the transformation involves
subtraction of elements not present in the parent.
genFormulaTPLibrary(
parents,
transformations = NULL,
minMass = 40,
generations = 1,
skipInvalid = TRUE,
prefCalcChemProps = TRUE,
neutralChemProps = FALSE
)The parents to which the given transformation rules should be used to generate the TP library. Should
be either a suspect list (see suspect screening for more information) or the resulting
output of screenSuspects.
A data.frame with transformation reactions to be used for calculating the TPs (see
details below). If NULL, a default table from Schollee et al. is used (see references).
The minimum mass for a TP to be kept.
An integer that specifies the number of transformation generations that should be
calculated. If generations>1 then TPs are calculated by applying the transformation rules to the TPs
generated in the previous generation.
Set to TRUE to skip parents without formula information. Otherwise an error is thrown.
If TRUE then calculated chemical properties such as the formula and
InChIKey are preferred over what is already present in the parent suspect list. For efficiency reasons it is
recommended to set this to TRUE. See the Validating and calculating chemical properties section for
more details.
If TRUE then the neutral form of the molecule is considered to calculate
SMILES, formulae etc. Enabling this may improve feature matching when considering common adducts
(e.g. [M+H]+, [M-H]-). See the Validating and calculating chemical properties section
for more details.
A data.table that is suitable for the TPLibrary argument to
generateTPsLibraryFormula.
The transformations argument specifies custom rules to calculate
transformation products. This should be a data.frame with the following columns:
transformation The name of the chemical transformation
add The elements that are added by this reaction (e.g. "O").
sub The elements that are removed by this reaction (e.g. "H2O").
retDir The expected retention time direction relative to the parent (assuming a reversed phase like LC
separation). Valid values are: -1 (elutes before the parent), 1 (elutes after the parent) or 0
(no significant change or unknown).
The algorithms using transformation reactions are directly based on the work done by Schollee et al. (see references).
Chemical properties such as SMILES, InChIKey and formula in the parent suspect list are automatically validated and calculated if missing/invalid.
The internal validation/calculation process performs the following steps:
Validation of SMILES, InChI, InChIKey and formula data (if present). Invalid
entries will be set to NA.
If neutralChemProps=TRUE then chemical data (SMILES, formulae etc.) is neutralized by
(de-)protonation (using the –neutralized option of OpenBabel). An additional column
molNeutralized is added to mark those molecules that were neutralized. Note that neutralization requires
either SMILES or InChI data to be available.
The SMILES and InChI data are used to calculate missing or invalid SMILES,
InChI, InChIKey and formula data. If prefCalcChemProps=TRUE then existing
InChIKey and formula data is overwritten by calculated values whenever possible.
The chemical formulae which were not calculated are verified and normalized. This process may be time
consuming, and is potentially largely avoided by setting prefCalcChemProps=TRUE.
Neutral masses are calculated for missing values (prefCalcChemProps=FALSE) or whenever possible
(prefCalcChemProps=TRUE).
Note that calculation of formulae for molecules that are isotopically labelled is currently only supported for deuterium (2H) elements.
This functionality relies heavily on OpenBabel, please make sure it is installed.
Schollee JE, Schymanski EL, Avak SE, Loos M, Hollender J (2015). “Prioritizing Unknown Transformation Products from Biologically-Treated Wastewater Using High-Resolution Mass Spectrometry, Multivariate Statistics, and Metabolic Logic.” Analytical Chemistry, 87(24), 12121–12129. doi:10.1021/acs.analchem.5b02905 .
OBoyle NM, Banck M, James CA, Morley C, Vandermeersch T, Hutchison GR (2011). “Open Babel: An open chemical toolbox.” Journal of Cheminformatics, 3(1). doi:10.1186/1758-2946-3-33 .