The FASGAI descriptor set was constructed from a large initial selection of indices obtained from the AAindex database for all 20 naturally occurring AAs.Indices showing highest covariance were removed, while at the same time a number of largely independent physicochemical parameters were maintained. In order to obtain descriptors at lower dimensionality PCA was performed on the final selection set of 58 amino acid properties. 8 PCs(protFP1~protFP8) explained 92% of the variance.

Click here to download FASGAI code.

Click here to download example input data.

Before using FASGAI, make sure that you have the R language and the R packages Peptides, doParallel, entropy, dplyr, readxl, stringr installed on your computer. If not, after installing R, run the following commands to install the dependencies in R respectively.

`install.packages("doParallel")`
`install.packages("Peptides")`
`install.packages("dplyr")`
`install.packages("stringr")`
`install.packages("readxl")`
`install.packages("entropy")`

Creat a working directory, e.g., ./working
Unzip the downloaded file in the working directory
Run FASGAI:
path-to-Rscript fasgai_calculate.R -i <Input file(csv)> -o <Working directory>


Parameters:

-i: A csv file with two columns. The first column is the sequence of neoantigen's WT Peptide, while the second column is the sequence of neoantigen's Mutant Peptide. Now only neoantigens with nine peptides and one site-specific mutation are supported for calculation. You can download the example data by clicking on the link above.
-o: Working directory. The folder's path which you put the unziped files in, and where the output files will be located.


Example:

/usr/bin/Rscript fasgai_calculate.R -i example.csv -o /feature_calculate/