Many proteins are subjected to post-translational enzymatic modifications in nature.
Overall, as compared to other groups of lipids analyzed, changes in PGLs upon iron deprivation are of minor modifications in nature.
Dimethylation of these adenosines is one of most conserved rRNA modifications in nature (24, 41), and the importance of the modification for ribosome biogenesis has been demonstrated in bacteria (27, 38), yeast (20), plants (42, 43) and mammals (17– 17).
Using high-resolution mass spectrometry approach, an earlier study has identified 3600 lysine acetylation sites on 1750 proteins, suggesting that this modification is one of the most abundant chemical modifications in nature [ 224].
This shows that our theoretical model is feasible for simulation of the interaction between adatoms and metal surfaces, and may accurately reflect the condition of materials surface modification in nature.
One common example of such a modification in nature is the lipopolysaccharide coat on a bacterial outer membrane, which helps retain a water layer around the bacterium to prevent dehydration.
IR experiments show that CO adsorption on the sulphide phase of Mo/Al2O3 catalysts gives rise to various ν(CO) bands, the intensities of which are strongly modified when post-treatment of the catalyst with H2 or H2S is performed before CO adsorption, therefore, revealing strong modifications in the nature and the number of sites present on the sulphide phase.
Overall, it is advisable to consider our data as single representative slice of a multifaceted big picture that is much wider (number of genes) and deeper (various levels of regulation, such as post-translational modifications, chromatin modification, miRNA levels) in nature.
This information is stored in the model during each simulation as a set of conditions, which must be satisfied (i.e. possible combinations of histone modifications that exist in nature).
In this case, especially near plasmon resonances, strongly overlapping evanescent fields exist, leading to significant modification in the nature of the resonance.
To observe how modifications are handled dynamically, in nature, information (extracted from literature [10]) on the number and type of amino acids for each histone type is fed into the model before the simulation.
