Answer:
Please find the explanation below
Explanation:
Deoxyribosenucleic acid, commonly called DNA is the stored form of genetic material in living cells. It contains the information needed by an organism to survive. A segment of the DNA that encodes the necessary information needed to produce a particular protein that determines a trait is called GENE.
The DNA consists of long polynucleotide chains, hence, due to Its length, it cannot git into the cell. The cell then devises a means by wrapping the long strands of DNA around certain proteins called HISTONES. This initially forms a NUCLEOSOME structure, then continuous wrapping around histones and condensation forms the visible CHROMOSOME structure.
Now, the CHROMOSOME contains the DNA molecule, which contains protein-coding segments called GENES. The information contained on the gene is used to produce a protein that is responsible for a particular TRAIT in the organism.
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:
C algal booms
Explanation:
Algal booms are harmful to the enviorment
The ultimate source of energy is sunlight, and living things must break the sunlight down using their own methods to use it.