| Makale Türü | Özgün Makale (ESCI dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Computational Biology and Chemistry | ||
| Dergi ISSN | 1476-9271 Wos Dergi Scopus Dergi | ||
| Makale Dili | İngilizce | Basım Tarihi | 04-2007 |
| Cilt / Sayı / Sayfa | 31 / 2 / 99–109 | DOI | 10.1016/j.compbiolchem.2007.02.009 |
| Makale Linki | http://www.scopus.com/inward/record.url?eid=2-s2.0-34147180936&partnerID=MN8TOARS | ||
| Özet |
| Most of the previously theoretical studies about the stochastic nature of the IP3R calcium release channel gating use the chemical master equation (CME) approach. Because of the limitations of this approach we have used a stochastic simulation algorithm (SSA) presented by Gillespie. A single subunit of De Young-Keizer (DYK) model was simulated using Gillespie algorithm. The model has been considered in its complete form with eight states. We investigate the conditions which affect the open state of the model. Calcium concentrations were the subject of fluctuation in the previous works while in this study the population of the states is the subject of stochastic fluctuations. We found out that decreasing open probability is a function of Ca2+ concentration in fast time domain, while in slow time domain it is a function of IP3 concentration. Studying the population of each state shows a time dependent reaction pattern in fast and medium time domains (10-4 and 10-3 s). In this pattern the state of X |
| Anahtar Kelimeler |
| Complex reactions | De Young-Keizer model | Gillespie algorithm | Ion channel | Monte Carlo | Stochastisity |
| Atıf Sayıları | |
| Web of Science | 6 |
| Scopus | 4 |
| Dergi Adı | COMPUTATIONAL BIOLOGY AND CHEMISTRY |
| Yayıncı | Elsevier Ltd |
| Açık Erişim | Hayır |
| ISSN | 1476-9271 |
| E-ISSN | 1476-928X |
| CiteScore | 4,3 |
| SJR | 0,522 |
| SNIP | 0,709 |