Based on improvements in whole-genome sequencing, novel methods have been developed to identify the secondary metabolite biosynthetic gene clusters by genome mining, to clone them, and to express them in heterologous hosts in much higher throughput than before.
The extract was also subjected to GC – MS analysis to identify the secondary metabolites likely present.
In the first stage, we identified the secondary data for measuring TF-MA and TF-MI published from the LPI of the World Bank (source: http://lpi.worldbank.org).org
GC MS is a novel technique to identify the secondary metabolites from the Streptomyces fermentation broth and analysis of GC MS is very reliable to identify the compound in complex biochemical product.
Traditionally, attempts have been made to identify the secondary structures solely from positions of Cα atoms [10], [11].
It identifies the secondary structures on the basis of particular hydrogen bond patterns detected from the protein geometry, with the help of an electrostatic model.
In order to identify the secondary structure elements based on the comparison of these chemical shifts with tabulated values from protonated proteins a correction for the deuterium isotope effect was applied following empirical rules [39].
In experiments where the subdivisions could be more clearly identified, the secondary response occured sequentially in the lobes: first in the α'/β' lobes, followed by the γ lobe, and finally in the α/β lobes (Figure 3E & movies S5A & S5B).
