• DocumentCode
    1607045
  • Title

    Researching on Selectivity Mechanism of Potassium Channel to Monovalent Cations in Signal Transduction

  • Author

    Zhan, Yong ; An, Hailong ; Zhang, Suhua ; Yu, Hui ; Zhuo, Yizhong

  • Author_Institution
    Sch. of Sci., Hebei Univ. of Technol., Tianjin
  • fYear
    2006
  • Firstpage
    1182
  • Lastpage
    1184
  • Abstract
    Ion channels bear the same relation to electrical signaling in nerve, muscle, and synapse as enzymes bear to metabolism. The potassium channel is one of the most important type. Potassium ion is at least 10,000 times more permeant than sodium ion, remaining to be an open question of potassium channels. To elucidate the mechanism of ion selectivity at atomic level, the authors performed density functional theory to calculate the position energy on the basis of the X-ray structure of the KcsA channel. In the viewpoint of statistic thermodynamics, the two most readily permeant ions, potassium and rubidium ions, can pass through the selectivity filter. In contrast, sodium ions are preferring to stay in site 2 which can not pass through the channel. The energy barrier difference between the potassium ion and sodium ion is 35.15 kcal mo/-1. The energy barrier difference between the potassium ion and rubidium ion is 14.44 kcal mol-1 . The energy barrier difference between the potassium ion and ammonium ion is 21.97 kcal mol-1. The results are qualitatively consistent with the experimental data. It is remarkable that the system, involving in 269 atoms, is much lower than the system involved in MD simulation which is on the order of 41000 atoms
  • Keywords
    bioelectric phenomena; biomembrane transport; density functional theory; potassium; rubidium; sodium; K; KcsA channel; Na; Rb; X-ray structure; density functional theory; electrical signaling; energy barrier difference; ion channels; ion selectivity; monovalent cations; potassium channel; rubidium ions; signal transduction; sodium ions; statistic thermodynamics; Biochemistry; Biomembranes; Cells (biology); Density functional theory; Electric potential; Energy barrier; Filters; Muscles; Proteins; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1616634
  • Filename
    1616634