[HTML][HTML] Immuno-epidemiology and pathophysiology of coronavirus disease 2019 (COVID-19)

OA Olwenyi, SR Dyavar, A Acharya, AT Podany… - Journal of Molecular …, 2020 - Springer
Occasional zoonotic viral attacks on immunologically naive populations result in massive
death tolls that are capable of threatening human survival. Currently, severe acute …

[HTML][HTML] Application of machine learning in bacteriophage research

Y Nami, N Imeni, B Panahi - BMC microbiology, 2021 - Springer
Phages are one of the key components in the structure, dynamics, and interactions of
microbial communities in different bins. It has a clear impact on human health and the food …

Predictive phage therapy for Escherichia coli urinary tract infections: Cocktail selection for therapy based on machine learning models

M Keith, A Park de la Torriente… - Proceedings of the …, 2024 - National Acad Sciences
This study supports the development of predictive bacteriophage (phage) therapy: the
concept of phage cocktail selection to treat a bacterial infection based on machine learning …

A guide to machine learning for bacterial host attribution using genome sequence data

N Lupolova, SJ Lycett, DL Gally - Microbial Genomics, 2019 - microbiologyresearch.org
With the ever-expanding number of available sequences from bacterial genomes, and the
expectation that this data type will be the primary one generated from both diagnostic and …

Ecological complexity in plant virus host range evolution

MJ McLeish, A Fraile, F García-Arenal - Advances in virus research, 2018 - Elsevier
The host range of a plant virus is the number of species in which it can reproduce. Most
studies of plant virus host range evolution have focused on the genetics of host–pathogen …

[HTML][HTML] Host taxon predictor-a tool for predicting taxon of the host of a newly discovered virus

W Gałan, M Bąk, M Jakubowska - Scientific reports, 2019 - nature.com
Recent advances in metagenomics provided a valuable alternative to culture-based
approaches for better sampling viral diversity. However, some of newly identified viruses …

Influenza virus genotype to phenotype predictions through machine learning: a systematic review: computational prediction of influenza phenotype

LK Borkenhagen, MW Allen… - Emerging microbes & …, 2021 - Taylor & Francis
Background: There is great interest in understanding the viral genomic predictors of
phenotypic traits that allow influenza A viruses to adapt to or become more virulent in …

[HTML][HTML] Fermented seeds (“Zgougou”) from aleppo pine as a novel source of potentially probiotic lactic acid bacteria

J Missaoui, D Saidane, R Mzoughi, F Minervini - Microorganisms, 2019 - mdpi.com
Microorganisms inhabiting fermented foods represent the main link between the
consumption of this food and human health. Although some fermented food is a reservoir of …

[HTML][HTML] Comparative studies of alignment, alignment-free and SVM based approaches for predicting the hosts of viruses based on viral sequences

H Li, F Sun - Scientific reports, 2018 - nature.com
Predicting the hosts of newly discovered viruses is important for pandemic surveillance of
infectious diseases. We investigated the use of alignment-based and alignment-free …

Existing host range mutations constrain further emergence of RNA viruses

L Zhao, M Seth-Pasricha, D Stemate… - Journal of …, 2019 - Am Soc Microbiol
ABSTRACT RNA viruses are capable of rapid host shifting, typically due to a point mutation
that confers expanded host range. As additional point mutations are necessary for further …