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Topic 3 The chemistry of life
Topic 3 The chemistry of life

... the reactions may occur faster. Enzymes are organic catalysts. They are proteins.  The amino acids that make up these enzymes allow a tertiary and/or quaternary structure. Because each enzyme has a specific amino acid sequence, enzymes have a specific three-dimensional shape.  The molecule an enzy ...
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... The student is expected to: 9A compare the structures and functions of different types of biomolecules, including carbohydrates, lipids, proteins, and nucleic acids ...
Topic 3 The chemistry of life
Topic 3 The chemistry of life

... the reactions may occur faster. Enzymes are organic catalysts. They are proteins.  The amino acids that make up these enzymes allow a tertiary and/or quaternary structure. Because each enzyme has a specific amino acid sequence, enzymes have a specific three-dimensional shape.  The molecule an enzy ...
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Construction and control analysis of biochemical network models

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... equation because it shows the chemical formulas of the reactants and products without indicating their ionic characters. In describing reactions that occur in solutions it is desirable to write the equation for the reaction in ionic form, indicating explicitly the ions that actually exist in the sol ...
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unit (4) calculations and chemical reactions

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... ATP is a required substrate, but at high concentration, ATP can also bind to an allosteric site and inhibit PFK-1. This inhibition is relieved by AMP, which competes with ATP for binding at the allosteric site.! Even though ∆G' º > 0, the reaction proceeds in the forward direction because the reacti ...
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Welcome to Class 8 - (canvas.brown.edu).

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FREE Sample Here

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The goal of protein structure prediction by threading is to find a best

... A great many different approaches have been explored. As examples, the hydrophobic contact potential of (Huang et al., 1996) reflects packing in the hydrophobic core using only two residue classes, hydrophobic and polar, and is remarkable for its explanatory power given its simplicity and near absen ...
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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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