Identification of potential antimicrobials against Salmonella typhimurium and Listeria monocytogenes using Quantitative Structure-Activity Relation modeling-Reference-Cited by-同舟云学术

Identification of potential antimicrobials against Salmonella typhimurium and Listeria monocytogenes using Quantitative Structure-Activity Relation modeling

Published:2017-12-13 Issue:12 Volume:12 Page:e0189580
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Rath Ethan C.,Gill Hunter,Bai Yongsheng^ORCID

Funder

Indiana State University The Center for Genomic Advocacy (TCGA) and Center for Student Research and Creativity (CSRC)

The startup fund of Indiana State University

COMPETE grant of Indiana State University

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

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3. CDC. Foodborne Diseases Active Surveillance Network (FoodNet): FoodNet Surveillance Report for 2012 In: Services USDoHaH, editor. Atlanta, Georgia: CDC; 2014.

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