作者: Mohd Shahbaaz , Krishna Bisetty , Faizan Ahmad , Md Imtaiyaz Hassan , None
关键词: Drug 、 Function (biology) 、 Virulence 、 Genome 、 Diplococcus 、 Microbiology 、 ENCODE 、 Gene 、 Neisseria meningitidis 、 Computational biology 、 Biology
摘要: Abstract Neisseria meningitidis is a Gram-negative aerobic diplococcus, responsible for variety of meningococcal diseases. The genome N. MC58 comprised 2114 genes that are translated into 1953 proteins. 698 (∼35%) encode hypothetical proteins (HPs), because no experimental evidence their biological functions available. Analyses these important to understand in the metabolic networks and may lead discovery novel drug targets against infections caused by meningitidis. This study aimed at identification categorization each HP present using computational tools. Functions 363 were predicted with high accuracy among annotated set HPs investigated. reliably further grouped 41 different classes proteins, based on possible roles cellular processes such as metabolism, transport, replication. Our studies revealed ...