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 |
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affinity and intrinsic algorithm allosteric analysis behavior Biol biological bootstrap calculated concentration of GTP concentration-response curves conformational space constitutive activity correlation curve fitting databases datapoints dataset defined denotes described descriptors desensitization dissociation constant distribution DR complex DRGX drug Equation error example experimental function G protein G protein-coupled receptors G protein-linked receptors gene expression GPCR ground and active guanine nucleotide Hill equation interaction inverse agonist K₁ Kenakin Kobs ligand ligand binding linear mathematical matrix measure method microscopic affinity constants microscopic constants microscopic state constants Monte Carlo Monte Carlo methods muscarinic receptors nonlinear nonlinear regression observed affinity observed dissociation constant Pharmacol pharmacological pharmacophore protein activation protein-linked receptors radioligand random ratio receptor activation receptor complex receptor occupancy receptor-G protein regression relationship relative efficacy response sampling sequences shown in Figure signal transduction simple ternary complex simulation statistic Table ternary complex model unsteady state model variables