2022
DOI: 10.1016/j.lwt.2022.113471
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Screening of potential probiotic lactic acid bacteria with antimicrobial properties and selection of superior bacteria for application as biocontrol using machine learning models

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Cited by 44 publications
(27 citation statements)
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“…Phages infect the bacterial hosts and highjack the host-cell machinery in the lytic (or virulent) lifestyle for replicating as well as destroying the host, which consequently led to decrease of living bacteria account, and even fermentation and production failure (Nami et al, 2021;Sadeghi et al, 2022). Other detrimental effects of LAB lysis by phages are the decline of acidification, texture development, and flavor enhancement.…”
Section: Introductionmentioning
confidence: 99%
“…Phages infect the bacterial hosts and highjack the host-cell machinery in the lytic (or virulent) lifestyle for replicating as well as destroying the host, which consequently led to decrease of living bacteria account, and even fermentation and production failure (Nami et al, 2021;Sadeghi et al, 2022). Other detrimental effects of LAB lysis by phages are the decline of acidification, texture development, and flavor enhancement.…”
Section: Introductionmentioning
confidence: 99%
“…The broad antibacterial spectrum of probiotics and their strong antibacterial activity against pathogens are their important functional properties 8 . In addition to working on the principle of exclusion of competitors and using immune-stimulators to combat illness, probiotic bacteria produce digestive enzymes that improve digestion, thereby improving host stress tolerance and health 6 .…”
Section: Introductionmentioning
confidence: 99%
“…Converging this application in the presented context of probiotics in clinical depression, machine learning paves the way for integrating microbial bases in depressive disorder from the consortia of the characteristic, endophenotypic, neurobiological, and genetic censuses to optimize management and treatment options using probiotics. Although this remains a futuristic vision, a handful of studies have begun to explore the machine learning application in microbiome, probiotics, and precision psychiatry [ 104 , 106 , 218 , 219 , 220 , 221 ].…”
Section: Potential Microbial-based Approach In the Clinical Managemen...mentioning
confidence: 99%