TL;DR: A hydrophilicity plot of Hoop-Woods scale amino acid sequence of a protein on its x-axis, and degree of hydrophobicity or hydrophILicity on its y-axis is reported using python language as architecture by utilizing various functional attributes such as scipy, matplot and numpy modules.
Abstract: Predicting the antigenic regions of a protein is of prime importance in assessing the states of a polypeptide chain as exposed or buried regions. This can be achieved by calculating and plotting the hydrophilicity of a protein using values of Hoop-Woods scale. Hence, in this paper, we report a hydrophilicity plot of Hoop-Woods scale amino acid sequence of a protein on its x-axis, and degree of hydrophobicity or hydrophilicity on its y-axis using python language as architecture by utilizing various functional attributes such as scipy, matplot and numpy modules. A case study has been reported using siallidase-4 enzyme. The program code can be available on request.
TL;DR: Data from the application of a hydrophilicity plot to define an antigenic determinant in the amino-terminal sequence of human parathyroid hormone support the use of the hydrophILicity plot in the prediction of antigenic sites in the par Kathyroid hormone molecule.
Abstract: The application of a hydrophilicity plot to define an antigenic determinant in the amino-terminal sequence of human parathyroid hormone is reported. The data obtained were compared to specificity studies of three antibodies, one polyclonal and two monoclonal, against the same portion of the molecule. Results were coincident. These data support the use of the hydrophilicity plot in the prediction of antigenic sites in the parathyroid hormone molecule.