NDLI: Genome-scale metabolic network analysis and drug targeting of multi-drug resistant pathogen Acinetobacter baumannii AYE

Please wait, while we are loading the content...

Functional characterization of tlmH in Streptoalloteichus hindustanus E465-94 ATCC 31158 unveiling new insight into tallysomycin biosynthesis and affording a novel bleomycin analog

A miniaturized screen for inhibitors of Jumonji histone demethylases

A strategy to discover inhibitors of Bacillus subtilis surfactin-type phosphopantetheinyl transferase

Expansion of the mycobacterial “PUPylome”

Detection of single nucleotide polymorphisms using a DNA Holliday junction nanoswitch—a high-throughput fluorescence lifetime assay

Random network behaviour of protein structures

Investigation of microsphere-mediated cellular delivery by chemical, microscopic and gene expression analysis

Novel 4β-anilino-podophyllotoxin derivatives: design synthesis and biological evaluation as potent DNA-topoisomerase II poisons and anti-MDR agents

Back matter

Back cover

Molecular BioSystems Vol -5

Molecular BioSystems Vol -4

Molecular BioSystems Vol -3

Molecular BioSystems Vol -2

Genome-scale metabolic network analysis and drug targeting of multi-drug resistant pathogen Acinetobacter baumannii AYE

Content Provider	Royal Society of Chemistry (RSC)
Author	Kim, Tae Yong Lee, Sang Yup Kim, Hyun Uk
Copyright Year	2010
Abstract	Acinetobacter baumannii has emerged as a new clinical threat to human health, particularly to ill patients in the hospital environment. Current lack of effective clinical solutions to treat this pathogen urges us to carry out systems-level studies that could contribute to the development of an effective therapy. Here we report the development of a strategy for identifying drug targets by combined genome-scale metabolic network and essentiality analyses. First, a genome-scale metabolic network of A. baumannii AYE, a drug-resistant strain, was reconstructed based on its genome annotation data, and biochemical knowledge from literatures and databases. In order to evaluate the performance of the in silico model, constraints-based flux analysis was carried out with appropriate constraints. Simulations were performed from both reaction (gene)- and metabolite-centric perspectives, each of which identifies essential genes/reactions and metabolites critical to the cell growth. The gene/reaction essentiality enables validation of the model and its comparative study with other known organisms’ models. The metabolite essentiality approach was undertaken to predict essential metabolites that are critical to the cell growth. The EMFilter, a framework that filters initially predicted essential metabolites to find the most effective ones as drug targets, was also developed. EMFilter considers metabolite types, number of total and consuming reaction linkage with essential metabolites, and presence of essential metabolites and their relevant enzymes in human metabolism. Final drug target candidates obtained by this system framework are presented along with implications of this approach.
Starting Page	339
Ending Page	348
Page Count	10
File Format	HTM / HTML PDF
ISSN	1742206X
Volume Number	6
Issue Number	2
Journal	Molecular BioSystems
DOI	10.1039/b916446d
Language	English
Publisher	Royal Society of Chemistry
Access Restriction	Open
Subject Keyword	Acinetobacter baumannii Metabolic network Gene Pathogen Metabolism Ayer Rajah Expressway DNA annotation
Content Type	Text
Resource Type	Article
Subject	Molecular Biology Biotechnology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

iCN718, an Updated and Improved Genome-Scale Metabolic Network Reconstruction of Acinetobacter baumannii AYE

Genome-Scale Metabolic Modeling Reveals Metabolic Alterations of Multidrug-Resistant Acinetobacter baumannii in a Murine Bloodstream Infection Model

Molecular Analysis and Expression of bap Gene in Biofilm-Forming Multi-Drug-Resistant Acinetobacter baumannii.

A novel variant of the ß-lactamase ADC-61 gene in multi-drug resistant Acinetobacter baumannii.

Molecular Analysis and Expression of bap Gene in Biofilm-Forming Multi-Drug-Resistant Acinetobacter baumannii

DNA-triplex Forming Purine Repeat Containing Genes in Acinetobacter baumannii and Their Association with Infection and Adaptation

In vitro activity of fosfomycin against uropathogen multi-drug resistant (MDR) Pseudomonas aeruginosa and Acinetobacter baumannii

Fluorescence-Based Detection of Natural Transformation in Drug-Resistant Acinetobacter baumannii.

Next-gen sequencing of multi-drug resistant Acinetobacter baumannii to determine antibiotic resistance genotypes

Genome-scale metabolic network analysis and drug targeting of multi-drug resistant pathogen Acinetobacter baumannii AYE

Similar Documents

iCN718, an Updated and Improved Genome-Scale Metabolic Network Reconstruction of Acinetobacter baumannii AYE

Genome-Scale Metabolic Modeling Reveals Metabolic Alterations of Multidrug-Resistant Acinetobacter baumannii in a Murine Bloodstream Infection Model

Molecular Analysis and Expression of bap Gene in Biofilm-Forming Multi-Drug-Resistant Acinetobacter baumannii.

A novel variant of the ß-lactamase ADC-61 gene in multi-drug resistant Acinetobacter baumannii.

Molecular Analysis and Expression of bap Gene in Biofilm-Forming Multi-Drug-Resistant Acinetobacter baumannii

DNA-triplex Forming Purine Repeat Containing Genes in Acinetobacter baumannii and Their Association with Infection and Adaptation

In vitro activity of fosfomycin against uropathogen multi-drug resistant (MDR) Pseudomonas aeruginosa and Acinetobacter baumannii

Fluorescence-Based Detection of Natural Transformation in Drug-Resistant Acinetobacter baumannii.

Next-gen sequencing of multi-drug resistant Acinetobacter baumannii to determine antibiotic resistance genotypes

Genome-scale metabolic network analysis and drug targeting of multi-drug resistant pathogen Acinetobacter baumannii AYE