000			02051cam a2200325 a 4500
003			EG-GiCUC
005			20250223032301.0
008			190515s2018 ua dh f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aPh.D
099			_aCai01.12.04.Ph.D.2018.Em.P
100	0		_aEman Mohamed Ibrahim Elsayed
245	1	0	_aPrediction of RNA structure / _cEman Mohamed Ibrahim Elsayed ; Supervised Ali Ellakkani
246	1	5	_aالتنبؤ بنية الحمض النووي الريبوزي
260			_aCairo : _bEman Mohamed Ibrahim Elsayed , _c2018
300			_a72 P. : _bcharts , facsimiles ; _c25cm
502			_aThesis (Ph.D.) - Cairo University - Faculty of Science - Department of Biophysics
520			_aThe function of a particular RNA molecule within an organic system is principally determined by its structure. The current physical methods available for structure determination are time consuming and expensive. Hence, computational methods for structure prediction are often used.The prediction of the structure of a large single sequence of RNA needs a lot of research work. In the present work, a method is introduced to improve the prediction of large single sequence RNA secondary structure obtained by Mfold program using the concept of minimum free energy.The Mfold program contains a constraint option that allows forcing some helices in the predicted structure. In our method, some of the firstly formed hairpins that are expected, by a statistical study, to be present in the real structure are forced in the Mfold predicted structure. The results show improvement, toward the real structure, in the Mfold predicted structure and this gives evidence to the RNA kinetic folding.
530			_aIssued also as CD
653		4	_aRNA
653		4	_aRNA molecule
653		4	_aRNA structure
700	0		_aAli Ellakkani , _eSupervisor
856			_uhttp://172.23.153.220/th.pdf
905			_aNazla _eRevisor
905			_aShimaa _eCataloger
942			_2ddc _cTH
999			_c71987 _d71987