AIMC Topic: Bacteriophages
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Large-scale genomic survey with deep learning-based method reveals strain-level phage specificity determinants.
GigaScience
Jan 2, 2024
BACKGROUND: Phage therapy, reemerging as a promising approach to counter antimicrobial-resistant infections, relies on a comprehensive understanding of the specificity of individual phages. Yet the significant diversity within phage populations prese...
AcrNET: predicting anti-CRISPR with deep learning.
Bioinformatics (Oxford, England)
May 4, 2023
MOTIVATION: As an important group of proteins discovered in phages, anti-CRISPR inhibits the activity of the immune system of bacteria (i.e. CRISPR-Cas), offering promise for gene editing and phage therapy. However, the prediction and discovery of an...
DeePVP: Identification and classification of phage virion proteins using deep learning.
GigaScience
Aug 11, 2022
BACKGROUND: Many biological properties of phages are determined by phage virion proteins (PVPs), and the poor annotation of PVPs is a bottleneck for many areas of viral research, such as viral phylogenetic analysis, viral host identification, and ant...
DeePhage: distinguishing virulent and temperate phage-derived sequences in metavirome data with a deep learning approach.
GigaScience
Sep 8, 2021
BACKGROUND: Prokaryotic viruses referred to as phages can be divided into virulent and temperate phages. Distinguishing virulent and temperate phage-derived sequences in metavirome data is important for elucidating their different roles in interactio...
PPR-Meta: a tool for identifying phages and plasmids from metagenomic fragments using deep learning.
GigaScience
Jun 1, 2019
BACKGROUND: Phages and plasmids are the major components of mobile genetic elements, and fragments from such elements generally co-exist with chromosome-derived fragments in sequenced metagenomic data. However, there is a lack of efficient methods th...
[Construction and Identification of the cDNA Expression Library for Human Esophageal Cancer Cells].
Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
Sep 1, 2016
OBJECTIVES: To construct a cDNA phage expression library for human esophageal cancer cells.
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