@article{7907,
  keywords = {Binding Sites, Computational Biology, Drug Design, Humans, leprosy, Ligands, Mycobacterium leprae, Predictive Value of Tests, Protein Binding, Receptor, erbB-2, Virulence},
  author = {Wiwanitkit V},
  title = {Ligand-binding prediction for ErbB2, a key molecule in the pathogenesis of leprosy.},
  abstract = {<p><b>BACKGROUND AND AIMS: </b>Mycobacterium leprae is an obligate intracellular pathogen. Ligand-binding is an important factor in the success of chemoprevention and chemotherapy. A new drug that can inhibit M. leprae binding to and activation of, ErbB2 and Erk1/2 in primary Schwann cells is the new therapeutic option. However, the ligand-binding pattern of ErbB2 has never been clarified.</p><p><b>METHODS: </b>In this work, the author performed a ligand-binding prediction for ErbB2 using a new bioinformatics tool.</p><p><b>RESULTS: </b>According to this study, nine strong possible ligands can be identified.</p><p><b>CONCLUSION: </b>These sites can be useful for further drug-development studies.</p>},
  year = {2008},
  journal = {Indian journal of dermatology, venereology and leprology},
  volume = {74},
  pages = {32-4},
  month = {2008 Jan-Feb},
  issn = {0973-3922},
  url = {http://www.ijdvl.com/text.asp?2008/74/1/32/38404 },
  language = {eng},
}