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008			260715t20252025my a|||fr|||| 000 0 eng d
020			_aTHE0010742 (Local) _qHardback
040			_aUMPSA _beng _cUMPSA _erda
090			_aFTKKP .A894 2025 r Bc.
100	0		_aNur Afra Asyeerah Binti Musinon@musinun, , , _eauthor.
245	1	0	_aPrediction of bioactivity of bioactive compounds from kelulut honey using naïve bayesian (nb) modelling / _cNur Afra Asyeerah Binti Musinon@musinun
264		1	_aKuantan, Pahang : _bUMPSA, _c2025
264		4	_c© 2025
300			_axii, 51 pages : _billustrations ;
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
347			_2rda _atext file _bPDF
500			_aFaculty of Chemical and Process Engineering Technology
502			_aFinal Year Report (Bachelor of Manufacturing Engineering Technology (Pharmaceuticals) with Hons ) -- Universiti Malaysia Pahang Al-Sultan Abdullah - 2025
504			_aInclude bibliographical reference
520	3		_aThis investigation analysis will be done for auto-immune Type 1 Diabetes (T1D) with FasL as the target protein using the compounds from Kelulut honey (stingless bee honey). T1D happened due to the interaction of the Fas-FasL that lead to the apoptosis (cell death programme) of β-cells in the liver that cannot induce the insulin to control the glucose in the bloodstream. Thus, we have determined the bioactivity of the compounds of Kelulut honey to FasL protein as our target protein. The compounds have been compared using half-maximal inhibitory concentration (IC50) and inhibitory constant (Ki) by implementing the Naïve Bayesian modelling in the MATLAB. Active ligands derived from Naïve Bayesian modelling then undergo the chemical and biological clustering using K-mean clustering and cosine similarity was done to know the relationship between biological and chemical clustering. After that, molecular docking was performed between protein-ligand to get the binding affinity, where the predicted active ligands were compared with the highest binding affinity of the compounds. Finally, we are able to predict the Kelulut honey compounds that have the therapeutic potential and describe the chemical and biological properties needed to bind with FasL to prevent apoptosis β-cells and mediate therapeutic effects.
610	2	0	_aFaculty of Chemical and Process Engineering Technology _xDissertations
650		0	_aUniversities and colleges _xDissertations
650		0	_aTheses _xDissertations
856			_uhttps://umpir.ump.edu.my/id/eprint/47630
942			_2lcc _cPSM
999			_c105228 _d105234