ABSTRACT

Progesterone is an important female hormone. A disorder at progesterone receptor (PR) is a condition that relate to the many female specific disorders. This steroid hormone receptor plays a critical role in the development of breast cancer. Mutation within PR can be seen. Presently, prediction of protein nanostructure and function is a great challenge in the proteomics and structural genomics era.

To identify the point vulnerable to mutate is a new trend to expand the knowledge on disorders in genomic and proteomic level of diseases. Here, the author performed a bioinformatics analysis to study the determine positions that tend to comply peptide motifs in the amino acid sequence of PR. To identify the weak linkage in PR, a new bioinformatics tool namely GlobPlot was used.

According to this work, the positions resist to mutation are identified.

Based on this study, the weak linkages in the PR can be identified and can be good information for the prediction of possible new mutations that can result in phenotype abnormality. In addition, the results from this study can be good information for further research on the diagnosis PR abnormalities and new treatment.

Keywords: progesterone, receptor, weak linkage, mutation