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mod-5-revision-guide-4-transition-metals
mod-5-revision-guide-4-transition-metals

... The acid is needed to supply the 8H+ ions. Some acids are not suitable as they set up alternative redox reactions and hence make the titration readings inaccurate. Only use dilute sulphuric acid for manganate titrations. Insufficient volumes of sulphuric acid will mean the solution is not acidic eno ...
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Late events of translation initiation in bacteria: a kinetic analysis
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Fulltext PDF - Indian Academy of Sciences
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... reaction, but we do think that the simplicity and user-friendliness of our solution is unique. For instance, our catalyst system is highly stable to air exposure and does not require work under glove-box conditions.” A further advantage of the new process is that, in contrast to the traditional reac ...
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pH stability of HLA-DR4 complexes with antigenic peptides .

... very similar dissociation kinetics at pH 7.0 (data not shown). The same observation applies to the collagen II 261-272 peptide/HLA-DR4*0401 complex. Molecular Modeling. Modeling was done with the software package LOOK (Molecular Applications Group, Palo Alto, CA). For each peptide/MHC II complex, tw ...
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... The two major lupin storage proteins are α-conglutin (legumin-like or 11S globulin), and ß-conglutin (vicilin-like or 7S globulin). Vilicin proteins are characterized by two cupin (barrel-shaped) domains constituted by α-helices. Another family with a cupin-like structure, γ-conglutin (basic 7S-glob ...
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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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