Introduction.- History and Development .-Drug-Receptor Interaction .- Statistical Analysis .-Multiple Linear Regression (MLR) Analysis.- Significance of MLR.-analysis.- Discriminant Analysis, Simple and Multiple.- Principal Component Analysis and Factor Analysis .- Partial Least Square Analysis.- Pattern Recognition.- 2D QSAR.-Hansch Analysis.- Free-Wilson Analysis.- Discriminant Analysis: Examples.-Pattern Recognition: Examples.- The Distance Geometry Approach.-Cluster Analysis.-Fibbinicci Search.- Molecular Shape Analysis (MSA).- Minimal Steric Difference (MSD).- Minimal Topological Difference (MTD).- Hypothetical Active Site Lattice .-HASL).- Neural Network.- Parameters.-Hydrophobic Parameters.- Electronic.-Parameters.- Steric Parameters.-Topological Parameters.- Indicator .-arameters.- 3D QSAR.-Pharmacophore-Based Model.- Molecular Docking.- De Novo Ligand Design.- Molecular Similarity.- Comparative Molecular Field Analysis (CoMFA).- Molecular Shape Analysis.
