PhageLeads: Rapid Assessment of Phage Therapeutic Suitability Using an Ensemble Machine Learning Approach

PhageLeads: Rapid Assessment of Phage Therapeutic Suitability Using an Ensemble Machine Learning Approach

The characterization of therapeutic phage genomes plays a crucial role in the success rate of phage therapies. There are three checkpoints that need to be examined for the selection of phage candidates, namely, the presence of temperate markers, antimicrobial resistance (AMR) genes, and virulence ge...

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Bibliographic Details
Main Authors: Kumarasan Yukgehnaish, Heera Rajandas, Sivachandran Parimannan, Ravichandran Manickam, Kasi Marimuthu, Bent Petersen, Martha R. J. Clokie, Andrew Millard, Thomas Sicheritz-Pontén
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Viruses
Subjects:
phage therapy
AMR
lysogeny
machine learning
genomics
Online Access:https://www.mdpi.com/1999-4915/14/2/342

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https://www.mdpi.com/1999-4915/14/2/342

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