2022
DOI: 10.1016/j.coviro.2021.12.004
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Digital phagograms: predicting phage infectivity through a multilayer machine learning approach

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Cited by 32 publications
(20 citation statements)
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References 87 publications
(45 reference statements)
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“…Our results hint at the possibility of predicting phage capsular tropism only from depolymerase sequence information, a goal that we achieved partially and that should be further addressed in the future. Machine-learning approaches (Boeckaerts et al, 2021; Lood et al, 2021) in combination with deep mutational scanning studies to identify specificity regions in tail fibers (Huss et al, 2021) could help achieve this goal.…”
Section: Discussionmentioning
confidence: 99%
“…Our results hint at the possibility of predicting phage capsular tropism only from depolymerase sequence information, a goal that we achieved partially and that should be further addressed in the future. Machine-learning approaches (Boeckaerts et al, 2021; Lood et al, 2021) in combination with deep mutational scanning studies to identify specificity regions in tail fibers (Huss et al, 2021) could help achieve this goal.…”
Section: Discussionmentioning
confidence: 99%
“…Conversely, whenever the patient's infection can be satisfactorily treated with antibiotics, those will always be the therapy of choice. Additionally, a proper diagnostic of the infection-causing bacteria must be conducted (see Section 5), as well as a susceptibility proof of such bacteria towards the phage preparation to be applied (what is known as a "phagogram") [100,101]. We provide details below on the most urgent indications in which a regularization of phage therapy could have a greater impact.…”
Section: Most Urgent Indications For the Application Of Phage Therapy...mentioning
confidence: 99%
“…The second layer covers the evolutionary dynamics between host and phage, e.g., genetic defense mechanisms such as CRISPR-Cas. The last layer incorporates metabolic conversion of the host by the virus, e.g., by using transcriptomics data ( Lood et al, 2022 ).…”
Section: Engineering Of Clostridioides Difficile A...mentioning
confidence: 99%