Towards New Drug Targets? Function Prediction of Putative Proteins of XXXX and Their Virulence Characterization.

@entity29600 @entity281 @entity74 @entity7135 @entity3631
UNASSIGNED: @entity3631 is a Gram-negative aerobic diplococcus, responsible for a variety of @entity7135 . The genome of @entity29600 is comprised of 2114 genes that are translated into 1953 proteins. The 698 genes (   35%) encode hypothetical proteins (HPs), because no experimental evidence of their biological functions are available. Analyses of these proteins are important to understand their functions in the metabolic networks and may lead to the discovery of novel drug targets against the @entity281 caused by @entity3631 . This study aimed at the identification and categorization of each HP present in the genome of @entity29600 using computational tools. Functions of 363 proteins were predicted with high accuracy among the annotated set of HPs investigated. The reliably predicted 363 HPs were further grouped into 41 different classes of proteins, based on their possible roles in cellular processes such as metabolism, transport, and replication. Our studies revealed that 22 HPs may be involved in the pathogenesis caused by this microorganism. The top two HPs with highest virulence scores were subjected to @entity74 ( @entity74 ) simulations to better understand their conformational behavior in a water environment. We also compared the @entity74 simulation results with other virulent proteins present in @entity3631 . This study broadens our understanding of the mechanistic pathways of pathogenesis, drug resistance, tolerance, and adaptability for host immune responses to @entity3631 .
