Viroj Wiwanitkit1. 1. Department of Laboratory Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand. wviroj@pioneer.netserv.chula.ac.th
Abstract
OBJECTIVE: Mutation within androgen receptor (AR) can be seen. Presently, prediction of protein nanostructure and function is a great challenge in the proteomics and structural genomics era. To identify the points vulnerable to mutation is a new trend to expand the knowledge on disorders in genomic and proteomic level of diseases. DESIGN: The author performed a bioinformatics analysis to study the determined positions that correspond with peptide motifs in the amino acid sequence of AR. INTERVENTION(S): To identify the weak linkages in AR, a new bioinformatics tool, GlobPlot, was used. MAIN OUTCOME MEASURE(S): Mutation-sensitive points. RESULT(S): According to this work, the positions resistant to mutation are identified. CONCLUSION(S): Based on this study, the weak linkages in AR 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 for AR abnormalities and new treatment.
OBJECTIVE: Mutation within androgen receptor (AR) can be seen. Presently, prediction of protein nanostructure and function is a great challenge in the proteomics and structural genomics era. To identify the points vulnerable to mutation is a new trend to expand the knowledge on disorders in genomic and proteomic level of diseases. DESIGN: The author performed a bioinformatics analysis to study the determined positions that correspond with peptide motifs in the amino acid sequence of AR. INTERVENTION(S): To identify the weak linkages in AR, a new bioinformatics tool, GlobPlot, was used. MAIN OUTCOME MEASURE(S): Mutation-sensitive points. RESULT(S): According to this work, the positions resistant to mutation are identified. CONCLUSION(S): Based on this study, the weak linkages in AR 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 for AR abnormalities and new treatment.