AIMC Topic: Virulence

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Pathogenicity and virulence of lumpy skin disease virus: A comprehensive update.

Virulence Apr 27, 2025
Lumpy skin disease (LSD), which was confined to the Africa for many decades, has expanded its geographical distribution to numerous countries across Asia and Europe in recent years. The LSD virus (LSDV) is a relatively poorly studied virus. Its 151 K...
Virulence Genome, Viral Viral Vaccines Cattle Vaccines, Attenuated Arthropod Vectors Lumpy skin disease virus Lumpy Skin Disease Animals
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Cucumber green mottle mosaic virus encodes additional small proteins with specific subcellular localizations and virulence function.

Science China. Life sciences Apr 1, 2025
The vast majority of known viruses belong to the positive-sense single-stranded RNA (+ssRNA) class. Tobamoviruses are among the most destructive plant viruses and threaten global food security. It is generally accepted that +ssRNA viruses including t...
Virulence Plant Diseases Mutation Nicotiana Open Reading Frames Tobamovirus Peroxisomes Viral Proteins
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Machine learning analysis of magnetic covalent organic framework based heterostructures extracted intracellular metabolic fingerprint for direct hypervirulent Klebsiella pneumoniae prediction.

Talanta Mar 21, 2025
Hypervirulent Klebsiella pneumoniae (hvKP), known for its high virulence and epidemic potential, has emerged as a significant global public health threat. Therefore, improving the identification of hvKP and enabling earlier and faster detection in th...
Machine Learning Klebsiella pneumoniae Humans Virulence Klebsiella Infections Metal-Organic Frameworks
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ListPred: A predictive ML tool for virulence potential and disinfectant tolerance in Listeria monocytogenes.

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases Mar 18, 2025
Despite current surveillance and sanitation strategies, foodborne pathogens continue to threaten the food industry and public health. Whole genome sequencing (WGS) has reached an unprecedented resolution to analyse and compare pathogenic bacterial is...
Listeriosis Machine Learning Drug Resistance, Bacterial Computational Biology Whole Genome Sequencing Listeria monocytogenes Virulence Disinfectants Genome, Bacterial Humans
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RExPRT: a machine learning tool to predict pathogenicity of tandem repeat loci.

Genome biology Jan 31, 2024
Expansions of tandem repeats (TRs) cause approximately 60 monogenic diseases. We expect that the discovery of additional pathogenic repeat expansions will narrow the diagnostic gap in many diseases. A growing number of TR expansions are being identif...
Tandem Repeat Sequences Machine Learning Virulence
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Isolation and Pathogenicity Analysis of a G5P[23] Porcine Rotavirus Strain.

Viruses Dec 22, 2023
(1) Background: Group A rotaviruses (RVAs) are the primary cause of severe intestinal diseases in piglets. Porcine rotaviruses (PoRVs) are widely prevalent in Chinese farms, resulting in significant economic losses to the livestock industry. However,...
Rotavirus Virulence Rotavirus Infections China Diarrhea Animals Swine
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Gene-specific machine learning for pathogenicity prediction of rare BRCA1 and BRCA2 missense variants.

Scientific reports Jun 28, 2023
Machine learning-based pathogenicity prediction helps interpret rare missense variants of BRCA1 and BRCA2, which are associated with hereditary cancers. Recent studies have shown that classifiers trained using variants of a specific gene or a set of ...
Gene Frequency Mutation, Missense Machine Learning Virulence Neural Networks, Computer
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Digerati - A multipath parallel hybrid deep learning framework for the identification of mycobacterial PE/PPE proteins.

Computers in biology and medicine Jun 21, 2023
The genome of Mycobacterium tuberculosis contains a relatively high percentage (10%) of genes that are poorly characterised because of their highly repetitive nature and high GC content. Some of these genes encode proteins of the PE/PPE family, which...
Virulence Mycobacterium tuberculosis Deep Learning Bacterial Proteins
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How Deepbics Quantifies Intensities of Transcription Factor-DNA Binding and Facilitates Prediction of Single Nucleotide Variant Pathogenicity With a Deep Learning Model Trained On ChIP-Seq Data Sets.

IEEE/ACM transactions on computational biology and bioinformatics Apr 3, 2023
The binding of DNA sequences to cell type-specific transcription factors is essential for regulating gene expression in all organisms. Many variants occurring in these binding regions play crucial roles in human disease by disrupting the cis-regulati...
Humans Deep Learning Binding Sites Chromatin Immunoprecipitation Sequencing Virulence Nucleotides Transcription Factors DNA
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Artificial intelligence-based recognition for variant pathogenicity of BRCA1 using AlphaFold2-predicted structures.

Theranostics Jan 1, 2023
With the surge of the high-throughput sequencing technologies, many genetic variants have been identified in the past decade. The vast majority of these variants are defined as variants of uncertain significance (VUS), as their significance to the fu...
Amino Acid Sequence BRCA1 Protein Genetic Predisposition to Disease Virulence Humans Artificial Intelligence
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