<span>In the skeletal muscle cells of vertebrates, as many as 38 molecules of ATP are produced from one molecule of glucose. This is less than might be expected, because electrons from NADH produced during glycolysis must be shuttled through the inner mitochondrial membrane at a cost.
</span>The energy of the electrons can be used to make ATP and in eukaryotes, glycolysis occurs in the <span>cytosol, outside mitochondria. </span>
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Answer:
Results
We systematically analyze and compare how different modelling methodologies can be used to describe translation. We define various statistically equivalent codon-based simulation algorithms and analyze the importance of the update rule in determining the steady state, an aspect often neglected. Then a novel probabilistic Boolean network (PBN) model is proposed for modelling translation, which enjoys an exact numerical solution. This solution matches those of numerical simulation from other methods and acts as a complementary tool to analytical approximations and simulations. The advantages and limitations of various codon-based models are compared, and illustrated by examples with real biological complexities such as slow codons, premature termination and feedback regulation. Our studies reveal that while different models gives broadly similiar trends in many cases, important differences also arise and can be clearly seen, in the dependence of the translation rate on different parameters. Furthermore, the update rule affects the steady state solution.
Conclusions
The codon-based models are based on different levels of abstraction. Our analysis suggests that a multiple model approach to understanding translation allows one to ascertain which aspects of the conclusions are robust with respect to the choice of modelling methodology, and when (and why) important differences may arise. This approach also allows for an optimal use of analysis tools, which is especially important when additional complexities or regulatory mechanisms are included. This approach can provide a robust platform for dissecting translation, and results in an improved predictive framework for applications in systems and synthetic biology.
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Answer:
The correct answer is option D) "K".
Explanation:
In this example the wolf population is described by the equation "ΔN/Δt=rN(K−N)K". Even tough the variables are not defined in the question, we can conclude that the effect of the moose population will be given by a factor that has a positive effect in the wolf's population because "as moose populations increase, wolf populations also increase". The factor "K" fits the description because it gives a positive effect on "ΔN/Δt". "K" is a factor that multiplies "rN" at two different levels, therefore the higher the value of "K", the higher value of "ΔN/Δt" will be.