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Chapter 9 Reaction Energetics
Chapter 9 Reaction Energetics

... Thermodynamics is similar to bookkeeping. In thermodynamics the flow of energy is monitored, while in bookkeeping, the flow of money is monitored. The direction of flow is given by the sign of the change. By convention, the change in a variable is denoted by placing a delta (Δ) in front of the varia ...
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Introductory Agarose Gel Electrophoresis - Pitt
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... molecular sieve. The sieving properties of the gel influence the rate at which a molecule migrates. Smaller molecules move through the pores more easily than larger ones. Molecules can have the same molecular weight and charge but different shapes. Molecules having a more compact shape (a sphere is ...
ap sample5lab2 - Biology Junction
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Aminoacyl-tRNA synthetase complexes: beyond translation
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... information from nucleic acids to proteins, they are thought to have emerged early in evolution and to be structurally highly tailored to specific recognition of substrate amino acids and tRNAs. Although the catalytic activities of these enzymes represent their essential role in maintenance of cell ...
Nonenzymatic glycolysis and pentose phosphate
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Antigens and Antibodies - Thieme Medical Publishers
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... are arrange(I :}.4.recent data obtained by electron microscopy has given further clues as to how these various light-harvesting and other systems are arranged relative to the DI and D2 proteins. The PS2 core complex: the smallest unit that can split water The PS2 monomer. Monomers o| a PS2 core comp ...
NOBLE-GAS CHEMISTRY
NOBLE-GAS CHEMISTRY

... molecules (where M = Cu, Ag, and Au; X = F, Cl, and Br), and the binding energy was estimated to be as large as a quarter an eV for the Ar…AgF derivative.34 The work started from the most inert element (Ar) of the Ar–Kr–Xe set, and Kr and Xe were conquered in the following steps. To date, most of th ...
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Multi-state modeling of biomolecules

Multi-state modeling of biomolecules refers to a series of techniques used to represent and compute the behaviour of biological molecules or complexes that can adopt a large number of possible functional states.Biological signaling systems often rely on complexes of biological macromolecules that can undergo several functionally significant modifications that are mutually compatible. Thus, they can exist in a very large number of functionally different states. Modeling such multi-state systems poses two problems: The problem of how to describe and specify a multi-state system (the ""specification problem"") and the problem of how to use a computer to simulate the progress of the system over time (the ""computation problem""). To address the specification problem, modelers have in recent years moved away from explicit specification of all possible states, and towards rule-based formalisms that allow for implicit model specification, including the κ-calculus, BioNetGen, the Allosteric Network Compiler and others. To tackle the computation problem, they have turned to particle-based methods that have in many cases proved more computationally efficient than population-based methods based on ordinary differential equations, partial differential equations, or the Gillespie stochastic simulation algorithm. Given current computing technology, particle-based methods are sometimes the only possible option. Particle-based simulators further fall into two categories: Non-spatial simulators such as StochSim, DYNSTOC, RuleMonkey, and NFSim and spatial simulators, including Meredys, SRSim and MCell. Modelers can thus choose from a variety of tools; the best choice depending on the particular problem. Development of faster and more powerful methods is ongoing, promising the ability to simulate ever more complex signaling processes in the future.
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