Biomedical Applications of Computer ModelingArthur Christopoulos Up to the last decade or so, most general modeling approaches to the study of molecular components of biological responses have required significant amount of computer time, expertise, and resources, as well as highly specialized and often custom-written programs. With Biomedical Applications of Computer Modeling you don't have to be a computer sci |
Contents
Chapter 1 The Pharmacologic Consequences of Modeling Synoptic Receptor Systems | 1 |
Chapter 2 The Ternary Complex Model | 21 |
Three Models of Signal Transduction in G ProteinCoupled Receptors | 87 |
A Stochastic Model of Receptor Action | 109 |
From Genes to Structure Activity Relationships | 135 |
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Common terms and phrases
affinity and intrinsic allosteric analysis Applications of Computer behavior Bioinformatics Biol Biomedical Applications bootstrap calculated Cheminformatics concentration of GTP conformational space constitutive activity correlation curve fitting databases datapoints dataset defined denotes described desensitization dissociation constant distribution DR complex DRGX drug Equation error example experimental G protein G protein-coupled G protein-coupled receptors G protein-linked receptors gene expression GPCR ground and active guanine nucleotide Hill equation interaction intrinsic antagonist inverse agonist K₁ Kenakin ligand linear mathematical matrix Maximal amount measure method microscopic affinity constants microscopic constants microscopic state constants Monte Carlo Monte Carlo methods nonlinear nonlinear regression observed affinity permutation Pharmacol pharmacological protein activation protein-coupled receptors protein-linked receptors radioligand random ratio receptor activation receptor complex receptor occupancy regression relative efficacy response sampling sequences shown in Figure signal transduction simple ternary complex simulation statistic Table ternary complex model unsteady state model variables