Over
the last few decades, biologists understood gradually that a set of complex
interactions between the numerous constituents of a cell, gives rise to
different biological phenotypes. Diseases serve as interesting examples of a
great number of heterogeneous, interacting entities of biological systems.
Though the ultimate goal is to understand the causes and effects along with the
mechanisms of regulation, the precise simulation to mimic the real biological
phenomena had been quite tough. The present talk encompasses a discussion on
the model networks of few infectious diseases focused around identifying the
proteins indispensable for virulence followed by probing into the structure
function relation of the proteins involved there in and their molecular
evolution.
The diseases are either caused by bacterial infection like typhoid
caused by Samonella enterica, nosocomial infection by Acinetobacter baumannii
and fish pathogenesis by Edwardsiella tarda. On an initial note, the
indispensability issue has been taken off for virulent proteins from the 28
Pathogenicity Alien Islands (PAI) causing the hospital borne infection caused
by Acinetobacter. Taking down to the practical level, a conglomerate of
secretion systems and signaling proteins of Edwardsiella were used for
identifying an important candidate suitable for fish vaccination. Finally, a
methodology has been figured out theoretically to focus on the indispensable
virulent proteins amongst a barrage of Salmonella Pathogenecity Island (SPI)
proteins and proven by microarray data for Salmonella.
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