| 000 | 01565cam a2200301 a 4500 | ||
|---|---|---|---|
| 003 | EG-GiCUC | ||
| 008 | 141126s2014 ua f m 000 0 eng d | ||
| 040 |
_aEG-GiCUC _beng _cEG-GiCUC |
||
| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aM.Sc | ||
| 099 | _aCai01.12.04.M.Sc.2014.Se.S | ||
| 100 | 0 | _aSeham Mahmoud Mohammed Mohammed | |
| 245 | 1 | 0 |
_aSimilarity analysis of protein sequences / _cSeham Mahmoud Mohammed Mohammed ; Supervised Ali Ellakkani |
| 246 | 1 | 5 | _aتحليل التشابه لتتابعات البروتين |
| 260 |
_aCairo : _bSeham Mahmoud Mohammed Mohammed , _c2014 |
||
| 300 |
_a65 P. ; _c25cm |
||
| 502 | _aThesis (M.Sc.) - Cairo University - Faculty of Science - Department of Biophysics | ||
| 520 | _aThe This approach presents a 3D amino acid adjacency matrix based on the 2D amino acid adjacency matrix which was proposed by randic{u00B4} et al. (2008) [1]. Furthermore, a novel numerical method is proposed to measure the degree of similarity based on 2D and 3D adjacency matrices. This new method is applied to nine ND5 proteins of different species. To prove the efficiency of the presented work a correlation with clustalW and significance analyses are provided. The results show that our work is the most significant among other related works | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _a2D and 3D adjacency matrices | |
| 653 | 4 | _aProtein sequences | |
| 653 | 4 | _aSimilarity analysis | |
| 700 | 0 |
_aAli Ellakkani , _eSupervisor |
|
| 905 |
_aNazla _eRevisor |
||
| 905 |
_aSamia _eCataloger |
||
| 942 |
_2ddc _cTH |
||
| 999 |
_c48434 _d48434 |
||