Mathematical models to study the biology of pathogens and the infectious diseases they cause

Author:

Xavier Joao B.ORCID,Monk Jonathan M.ORCID,Poudel SaugatORCID,Norsigian Charles J.,Sastry Anand V.,Liao Chen,Bento Jose,Suchard Marc A.ORCID,Arrieta-Ortiz Mario L.,Peterson Eliza J.R.,Baliga Nitin S.,Stoeger Thomas,Ruffin FeliciaORCID,Richardson Reese A.K.ORCID,Gao Catherine A.ORCID,Horvath Thomas D.ORCID,Haag Anthony M.,Wu Qinglong,Savidge Tor,Yeaman Michael R.

Funder

University of California, Los Angeles

Baylor University

National Institutes of Health

University of California, San Diego

National Institute of Allergy and Infectious Diseases

Memorial Sloan-Kettering Cancer Center

Boston College

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference115 articles.

1. Differential effects of antibiotics on neutrophils exposed to lipoteichoic acid derived from Staphylococcus aureus;Algorri;Ann. Clin. Microbiol. Antimicrob.,2020

2. Identifying the measurements required to estimate rates of COVID-19 transmission, infection, and detection, using variational data assimilation;Armstrong;Infect. Dis. Model.,2021

3. An experimentally supported model of the Bacillus subtilis global transcriptional regulatory network;Arrieta-Ortiz;Mol. Syst. Biol.,2015

4. Inference of bacterial small RNA regulatory networks and integration with transcription factor-driven regulatory networks;Arrieta-Ortiz;mSystems,2020

5. Predictive regulatory and metabolic network models for systems analysis of Clostridioides difficile;Arrieta-Ortiz;Cell Host Microbe,2021

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