Gene clusters encoding bioactive compounds were identified using BLASTp analysis of reference gene clusters, using E-value cut-off of 10−5 and a identity >60 % and a identity of >70%% in case of NRPS/PKS biosysnthesis clusters.
The selected bioactive compounds were screened for their affinities against C-C loop region of EDA employing computer aided drug.
Similarly various bioactive compounds were isolated from A. javanica[17].
Two bioactive compounds were isolated from C. transvaalensis.
Higher contents of bioactive compounds were found in Lentinula edodes.
All the above estimations of bioactive compounds were carried out in triplicate and means were plotted.
Bioactive compounds were isolated using various chromatographic techniques (VLC, column chromatography, Prep-TLC, etc).
The presence of gene clusters likely encoding bioactive compounds is spread among the different families of Alpha- and Gammaproteobacteria.
The hierarchical clustering for the 37 bioactive compounds was carried out by using exactly the same algorithm as applied to the initial compound set.
Often highlighted through human health hazard point of view, the clusters encoding major toxins, protease inhibitors and other known bioactive compounds are not predominant in these pathways.
