extractDrugFMF: Calculate the FMF Descriptor

Description Usage Arguments Details Value Author(s) References Examples

Description

Calculate the FMF Descriptor

Usage

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extractDrugFMF(molecules, silent = TRUE)

Arguments

molecules

Parsed molucule object.

silent

Logical. Whether the calculating process should be shown or not, default is TRUE.

Details

Calculates the FMF descriptor characterizing molecular complexity in terms of its Murcko framework. This descriptor is the ratio of heavy atoms in the framework to the total number of heavy atoms in the molecule. By definition, acyclic molecules which have no frameworks, will have a value of 0. Note that the authors consider an isolated ring system to be a framework (even though there is no linker).

Value

A data frame, each row represents one of the molecules, each column represents one feature. This function returns one column named FMF.

Author(s)

Nan Xiao <https://nanx.me>

References

Yang, Y., Chen, H., Nilsson, I., Muresan, S., & Engkvist, O. (2010). Investigation of the relationship between topology and selectivity for druglike molecules. Journal of medicinal chemistry, 53(21), 7709-7714.

Examples

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smi = system.file('vignettedata/FDAMDD.smi', package = 'Rcpi')

mol = readMolFromSmi(smi, type = 'mol')
dat = extractDrugFMF(mol)
head(dat)

Rcpi documentation built on Nov. 8, 2020, 8:23 p.m.