Method and system for converting a protein data bank file into a grayscale image array

1 . A processor-implemented method of converting protein data bank (PDB) files into a grayscale image array, the method comprising:

extracting PDB files from a PDB, using a data extraction module;

converting, using a file conversion module, the PDB files into a data frame based on BioPandas;

selecting, using a column selection module, one or more columns from the data frame based on a pre-determined criteria;

converting, using a column conversion module, the selected one or more columns into a NumPy array for rendering the data frame to resemble an image; and

resizing, using an image array generation module, the NumPy array for making size of the NumPy array uniform and for generating a grayscale image array.

2 . The processor-implemented method of claim 1 , wherein selecting the one or more columns comprises:

shortlisting one or more columns based on the pre-determined criteria; and

performing a one hot encoding of the non-numeric columns.

3 . The processor-implemented method of claim 1 , wherein converting the one or more columns into the NumPy array comprises:

scaling each column between 0 to 255; and

normalizing one or more columns of the data frame using min-max normalization for obtaining.

4 . The processor-implemented method of claim 1 , wherein the NumPy array is resized to a height of 100.

5 . A system for converting protein data bank (PDB) files into a grayscale image array, the system comprising:

a non-transitory memory configured to store PDB files and one or more executable modules; and

a processor configured to execute the one or more executable modules for converting protein data bank (PDB) files into a grayscale image array, wherein the one or more executable modules comprises:

a data extraction module configured to extracting PDB files from a PDB;

a file conversion module configured to convert the PDB files into a data frame based on BioPandas; and

a column selection module configured to select one or more columns from the data frame based on a pre-determined criteria;

an image array generation module for resizing the NumPy array for making size of the NumPy array uniform and for generating a grayscale image array.

6 . The system of claim 5 , wherein the column selection module is further configured to:

shortlist one or more columns based on the pre-determined criteria; and

perform a one hot encoding of the non-numeric columns.

7 . The system of claim 5 , wherein the file conversion module is further configured to:

scale each column between 0 to 255; and

normalize one or more columns of the data frame using min-max normalization.

8 . The system of claim 5 , wherein the NumPy array is resized to a height of 100.

9 . One or more non-transitory computer readable storage mediums storing one or more sequences of instructions, which when executed by one or more processors, causes a method for converting protein data bank (PDB) files into a grayscale image array, the method comprising:

extracting PDB files from a PDB, using a data extraction module;

converting, using a file conversion module, the PDB files into a data frame based on BioPandas;

selecting, using a column selection module, one or more columns from the data frame based on a pre-determined criteria;

converting, using a column conversion module, the selected one or more columns into a NumPy array for rendering the data frame to resemble an image;

resizing, using an image array generation module, the NumPy array for making size of the NumPy array uniform and for generating a grayscale image array.