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Infectious Diseases Congress 2019 Journal of Bacteriology and Infectious Diseases | Volume 3
June 12-13, 2019 | Bangkok, Thailand
OF EXCELLENCE
IN INTERNATIONAL
MEETINGS
YEARS
BACTERIOLOGY AND INFECTIOUS DISEASES
2nd Global Congress on
Ummi Shahieda Lazaroo et al., J Bacteriol Infec Dis 2019, Volume 3
STRUCTURAL AND FUNCTIONAL PREDICTION OF THE HYPOTHETICAL PROTEINS
FROM PSEUDOMONAS AERUGINOSA PA7
Ummi Shahieda Lazaroo, Suresh Kumar and Ummu Sakinah Binti Fais
Management and Science University, Malaysia
Pseudomonas aeruginosa is the most frequently isolated bacterium among those gram-negative rods that
are obligated aerobes. It is one of the important opportunistic human pathogens, causing severe chronic
respiratory infection in a patient with underlying conditions such as cystic fibrosis (CF) or bronchiectasis. The
emergence of multi-drug resistance Pseudomonas aeruginosa strain in clinically isolated demands the devel-
opment of better or new drugs against this pathogen. The objective of this study is to assign a precise function
to hypothetical protein (HPs), whose functions are unknown. With the help of various bioinformatics tools, the
extensive functional analysis of these hypothetical proteins was performed. This study combines a number
of bioinformatics tools including Blastp, Pfam, interproscan, SMART, PSLpred, CELLO, signal peptide, expasy’s
protParam tool, virulenPred, vicmPred to gain information about the conserved regions, families, pathways, in-
teractions, localizations and virulence related to a particular protein. The hypothetical proteins present in Pseu-
domonas Aeruginosa PA7 genome was extensively analyzed and annotated, out of 1350 hypothetical proteins,
25 proteins are catalytic domains, 31 proteins are enzymes, 46 proteins are integral membrane proteins, 72
proteins are transporters, 104 proteins are binding proteins, 404 proteins sequences contain a domain of un-
known function (DUF) and 540 proteins cannot be functionally determined by any of the tools. The outcomes
of this study may be helpful for a better understanding of the mechanism of pathogenesis and in finding novel
therapeutic targets for Pseudomonas aeruginosa.
Ummi Shahieda Lazaroo is an undergraduate student fromManagement and Science University, Malaysia currently she is doing her
final year Bachelor in Bioinformatics (Hons). Currently her research focusing on finding novel drug target for antimicrobial resistant
bacterial pathogens using computational aided drug design. Her research interests are in computational biology and bioinformat-
ics.
BIOGRAPHY