Automating Predictive Phage Therapy Pharmacology
ST Abedon - Antibiotics, 2023 - mdpi.com
Viruses that infect as well as often kill bacteria are called bacteriophages, or phages.
Because of their ability to act bactericidally, phages increasingly are being employed …
Because of their ability to act bactericidally, phages increasingly are being employed …
[HTML][HTML] Biological and bioinformatic tools for the discovery of unknown phage–host combinations
J Mahony - Current Opinion in Microbiology, 2024 - Elsevier
Highlights•Phage-encoded receptor-binding proteins can be used to isolate host
strains.•Protein structure prediction is useful in identifying receptor types.•Hi-C sequencing is …
strains.•Protein structure prediction is useful in identifying receptor types.•Hi-C sequencing is …
Viromic and metagenomic analyses of commercial Spirulina fermentations reveal remarkable microbial diversity
B McDonnell, E Parlindungan, E Vasiliauskaite… - Viruses, 2024 - mdpi.com
Commercially produced cyanobacteria preparations sold under the name spirulina are
widely consumed, due to their traditional use as a nutrient-rich foodstuff and subsequent …
widely consumed, due to their traditional use as a nutrient-rich foodstuff and subsequent …
Genome analysis of triple phages that curtails MDR E. coli with ML based host receptor prediction and its evaluation
VK Unnikrishnan, NS Sundaramoorthy, VG Nair… - Scientific Reports, 2023 - nature.com
Infections by multidrug resistant bacteria (MDR) are becoming increasingly difficult to treat
and alternative approaches like phage therapy, which is unhindered by drug resistance, are …
and alternative approaches like phage therapy, which is unhindered by drug resistance, are …
A random forest model for predicting exosomal proteins using evolutionary information and motifs
Non‐invasive diagnostics and therapies are crucial to prevent patients from undergoing
painful procedures. Exosomal proteins can serve as important biomarkers for such …
painful procedures. Exosomal proteins can serve as important biomarkers for such …
Advances in phage–host interaction prediction: in silico method enhances the development of phage therapies
W Nie, T Qiu, Y Wei, H Ding, Z Guo… - Briefings in …, 2024 - academic.oup.com
Phages can specifically recognize and kill bacteria, which lead to important application
value of bacteriophage in bacterial identification and typing, livestock aquaculture and …
value of bacteriophage in bacterial identification and typing, livestock aquaculture and …
Prediction of peptide hormones using an ensemble of machine learning and similarity‐based methods
Peptide hormones serve as genome‐encoded signal transduction molecules that play
essential roles in multicellular organisms, and their dysregulation can lead to various health …
essential roles in multicellular organisms, and their dysregulation can lead to various health …
Genomic insight on Klebsiella variicola isolated from wastewater treatment plant has uncovered a novel bacteriophage
Klebsiella variicola is considered an emerging pathogen, which may colonize a variety of
hosts, including environmental sources. Klebsiella variicola investigated in this study was …
hosts, including environmental sources. Klebsiella variicola investigated in this study was …
A Deep Learning method for classification of HNSCC and HPV patients using single-cell transcriptomics
Background Head and Neck Squamous Cell Carcinoma (HNSCC) is the seventh most
highly prevalent cancer type worldwide. Early detection of HNSCC is one of the important …
highly prevalent cancer type worldwide. Early detection of HNSCC is one of the important …
Prediction of Alzheimer's Disease from Single Cell Transcriptomics Using Deep Learning
Alzheimer's disease (AD) is a progressive neurological disorder characterized by brain cell
death, brain atrophy, and cognitive decline. Early diagnosis of AD remains a significant …
death, brain atrophy, and cognitive decline. Early diagnosis of AD remains a significant …