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 …

[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 …

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 …

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 …

A random forest model for predicting exosomal proteins using evolutionary information and motifs

A Arora, S Patiyal, N Sharma, NL Devi, D Kaur… - …, 2024 - Wiley Online Library
Non‐invasive diagnostics and therapies are crucial to prevent patients from undergoing
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 …

Prediction of peptide hormones using an ensemble of machine learning and similarity‐based methods

D Kaur, A Arora, P Vigneshwar, GPS Raghava - Proteomics, 2024 - Wiley Online Library
Peptide hormones serve as genome‐encoded signal transduction molecules that play
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

KE Lekota, RO Mabeo, T Ramatla, DAB Van Wyk… - BMC genomics, 2024 - Springer
Klebsiella variicola is considered an emerging pathogen, which may colonize a variety of
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

A Jarwal, A Dhall, A Arora, S Patiyal… - Frontiers in Molecular …, 2024 - frontiersin.org
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 …

Prediction of Alzheimer's Disease from Single Cell Transcriptomics Using Deep Learning

A Srivastava, A Dhall, S Patiyal, A Arora, A Jarwal… - bioRxiv, 2023 - biorxiv.org
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 …