title: Mutation-prone positions within the estrogen receptor.
abstract: OBJECTIVE
  Estrogen is an important female hormone. The estrogen receptor (ER) plays a critical role in the development of breast cancer. Mutations within the ER can have clinically significant consequences.
  
  
  METHODS
  Identification of sites vulnerable to mutation is a new trend aimed at extending our knowledge of diseases at the genomic and proteomic levels. In this study, bioinformatics analysis was performed to determine the positions corresponding to specific peptide motifs in the amino acid sequence of the ER. A new computational tool called GlobPlot was used to identify the weak linkage positions within the ER.
  
  
  RESULTS
  The results allowed the identification of mutation-resistant positions.
  
  
  CONCLUSIONS
  This study showed that the weak linkages within the ER could be identified, and these could provide the basis for further studies aimed at predicting possible new ER mutations.
authors: Wiwanitkit House, Bangkhae, Bangkok, Thailand. wviroj@yahoo.com
authors: Viroj
authors: V
authors: Wiwanitkit
mesh_terms: D020816:Amino Acid Motifs / Q000235:genetics; D000595:Amino Acid Sequence; D019295:Computational Biology / Q000379:methods*; D047628:Estrogen Receptor alpha / Q000737:chemistry* / Q000235:genetics*; D047629:Estrogen Receptor beta / Q000737:chemistry* / Q000235:genetics*; D005260:Female; D006801:Humans; D008969:Molecular Sequence Data; D009154:Mutation / Q000235:genetics; D017434:Protein Structure, Tertiary; D040901:Proteomics / Q000379:methods*; D022821:RNA Splice Sites
chemical_list: D047628:Estrogen Receptor alpha; D047629:Estrogen Receptor beta; D022821:RNA Splice Sites