alexa An Agent Based Model of Tularemia | OMICS International | Abstract
ISSN: 2153-0602

Journal of Data Mining in Genomics & Proteomics
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article

An Agent Based Model of Tularemia

Oliver Attie and Simon Daefler*

Mount Sinai School of Medicine, One Gustave Levy Place, New York, USA

*Corresponding Author:
Simon Daefler
Mount Sinai School of Medicine
One Gustave Levy Place
New York, NY 10570, USA
Tel: 212-241-4690
Fax: 646-607-1011
E-mail: [email protected]

Received date: November 26, 2012; Accepted date: January 28, 2013; Published date: February 05, 2013

Citation: Attie O, Daefler S (2013) An Agent Based Model of Tularemia. J Data Mining Genomics Proteomics 4:125. doi:10.4172/2153-0602.1000125

Copyright: © 2013 Attie O, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Francisella tularensis is a formidable intracellular pathogen. Upon inhalation it leads to systemic disease (tularemia) with a high mortality rate. We sought here to develop a computational tool for infections with this class. A bio-threat microbe for which extensive datasets are not available to infer parameters that might determine the outcome of the infection. We present a two-compartment agent based model that simulates inhalational tularemia with subsequent dissemination to the liver and incorporates experimental data and validated general parameters of host defense mechanisms. This systems approach suggests that the initial number of macrophages, the probability of dissemination, and the initial clearance rate of bacteria correlate with the outcome of infections with Francisella. These findings underline the importance of early innate immune defense mechanisms in the prevention of tularemia.

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2018-19
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri & Aquaculture Journals

Dr. Krish

[email protected]

1-702-714-7001Extn: 9040

Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001Extn: 9040

Clinical Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

Food & Nutrition Journals

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

General Science

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics & Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Materials Science Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Nursing & Health Care Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

Ann Jose

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001Extn: 9042

 
© 2008- 2018 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version