[HTML][HTML] Assessment of vector-host-pathogen relationships using data mining and machine learning

DDM Agany, JE Pietri, EZ Gnimpieba - Computational and Structural …, 2020 - Elsevier
Infectious diseases, including vector-borne diseases transmitted by arthropods, are a
leading cause of morbidity and mortality worldwide. In the era of big data, addressing broad …

Artificial intelligence models for zoonotic pathogens: a survey

N Pillai, M Ramkumar, B Nanduri - Microorganisms, 2022 - mdpi.com
Zoonotic diseases or zoonoses are infections due to the natural transmission of pathogens
between species (animals and humans). More than 70% of emerging infectious diseases …

A comparison of computational methods for identifying virulence factors

LL Zheng, YX Li, J Ding, XK Guo, KY Feng, YJ Wang… - 2012 - journals.plos.org
Bacterial pathogens continue to threaten public health worldwide today. Identification of
bacterial virulence factors can help to find novel drug/vaccine targets against pathogenicity …

Integration of shared-pathogen networks and machine learning reveals the key aspects of zoonoses and predicts mammalian reservoirs

M Wardeh, KJ Sharkey… - Proceedings of the …, 2020 - royalsocietypublishing.org
Diseases that spread to humans from animals, zoonoses, pose major threats to human
health. Identifying animal reservoirs of zoonoses and predicting future outbreaks are …

Machine learning and its applications for protozoal pathogens and protozoal infectious diseases

RS Hu, AEL Hesham, Q Zou - Frontiers in Cellular and Infection …, 2022 - frontiersin.org
In recent years, massive attention has been attracted to the development and application of
machine learning (ML) in the field of infectious diseases, not only serving as a catalyst for …

Management of arthropod vector data–Social and ecological dynamics facing the One Health perspective

G Benelli, MF Duggan - Acta tropica, 2018 - Elsevier
Emerging infectious diseases (EIDs) are spread by direct and/or indirect contacts between a
pathogen or parasite and their hosts. Arthropod vectors have evolved as excellent …

Identification of infectious disease-associated host genes using machine learning techniques

RK Barman, A Mukhopadhyay, U Maulik, S Das - BMC bioinformatics, 2019 - Springer
Background With the global spread of multidrug resistance in pathogenic microbes,
infectious diseases emerge as a key public health concern of the recent time. Identification …

VF-Pred: Predicting virulence factor using sequence alignment percentage and ensemble learning models

S Singh, NQK Le, C Wang - Computers in Biology and Medicine, 2024 - Elsevier
This study introduces VF-Pred, a novel framework developed for the purpose of detecting
virulence factors (VFs) through the analysis of genomic data. VFs are crucial for pathogens …

Systems analysis of host–parasite interactions

J Swann, N Jamshidi, NE Lewis… - … : Systems Biology and …, 2015 - Wiley Online Library
Parasitic diseases caused by protozoan pathogens lead to hundreds of thousands of deaths
per year in addition to substantial suffering and socioeconomic decline for millions of people …

deepHPI: a comprehensive deep learning platform for accurate prediction and visualization of host–pathogen protein–protein interactions

R Kaundal, CD Loaiza, N Duhan… - Briefings in …, 2022 - academic.oup.com
Host-pathogen protein interactions (HPPIs) play vital roles in many biological processes and
are directly involved in infectious diseases. With the outbreak of more frequent pandemics in …