Titre :	QSAR Study of Bis-1,2- Benzisoselenazol-3(2H)-ones: Organoselenium Compounds for Cancer Therapy
Type de document :	texte imprimé
Auteurs :	ZIADI Ratiba, Auteur ; D. Hannachi, Directeur de thèse
Editeur :	Setif:UFA
Année de publication :	2018
Importance :	1 vol (32 f.)
Format :	29cm
Langues :	Français (fre)
Catégories :	Thèses & Mémoires:Chimie
Index. décimale :	541 - Chimie physique,chimie inorganique
Note de contenu :	Sommaire Bibliographic Overview 7 PART I: QSAR approach 7 1- Definition 8 2- Molecular descriptors 8 3- Properties of a molecular descriptor 8 4- Building QSAR model 9 4. 1- Multiple linear regression 9 4. 2-Coefficient of determination 9 4. 3-The Coefficient of Determination Adjusted noted 10 4. 4-Validation of models 10 4. 4. 1-Internal validation 10 4. 4. 2- External validation 11 4. 5- Randomization test 12 4. 6- Quik Rule 12 4. 7-Application Area (DA) 13 5- QSAR & pharmaceutical chemical 13 6- References 14 PART II: Thioredoxin 15 1- Thioredoxin system 16 2-Trx Isoforms 16 3-Thioredoxin Reductase 16 4-The structure of thioredoxin 17 5-Catalytic mechanism of Mammalian TrxR 18 ii 6-Thioredoxin and Cancer 18 7- Inhibitors of TrxR 19 8- References 20 Chapter 2: Results and discussion 22 1- Methods and materials 23 1.1- Computational methods 23 1.2- Data set for analysis 24 2- Development of QSAR Model 26 2.1- Method of analysis: 26 2.2- Validation of the developed models 26 3- Results and discussion 26 4- The Applicability Domain 28 5- Randomization test 29 6- Reference
Côte titre :	MACH/0065

QSAR Study of Bis-1,2- Benzisoselenazol-3(2H)-ones: Organoselenium Compounds for Cancer Therapy [texte imprimé] / ZIADI Ratiba, Auteur ; D. Hannachi, Directeur de thèse . - [S.l.] : Setif:UFA, 2018 . - 1 vol (32 f.) ; 29cm.
Langues : Français (fre)

Catégories :	Thèses & Mémoires:Chimie
Index. décimale :	541 - Chimie physique,chimie inorganique
Note de contenu :	Sommaire Bibliographic Overview 7 PART I: QSAR approach 7 1- Definition 8 2- Molecular descriptors 8 3- Properties of a molecular descriptor 8 4- Building QSAR model 9 4. 1- Multiple linear regression 9 4. 2-Coefficient of determination 9 4. 3-The Coefficient of Determination Adjusted noted 10 4. 4-Validation of models 10 4. 4. 1-Internal validation 10 4. 4. 2- External validation 11 4. 5- Randomization test 12 4. 6- Quik Rule 12 4. 7-Application Area (DA) 13 5- QSAR & pharmaceutical chemical 13 6- References 14 PART II: Thioredoxin 15 1- Thioredoxin system 16 2-Trx Isoforms 16 3-Thioredoxin Reductase 16 4-The structure of thioredoxin 17 5-Catalytic mechanism of Mammalian TrxR 18 ii 6-Thioredoxin and Cancer 18 7- Inhibitors of TrxR 19 8- References 20 Chapter 2: Results and discussion 22 1- Methods and materials 23 1.1- Computational methods 23 1.2- Data set for analysis 24 2- Development of QSAR Model 26 2.1- Method of analysis: 26 2.2- Validation of the developed models 26 3- Results and discussion 26 4- The Applicability Domain 28 5- Randomization test 29 6- Reference
Côte titre :	MACH/0065