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2014 1
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Page 1
Deep Learning and Antibiotic Resistance.
Popa SL, Pop C, Dita MO, Brata VD, Bolchis R, Czako Z, Saadani MM, Ismaiel A, Dumitrascu DI, Grad S, David L, Cismaru G, Padureanu AM. Popa SL, et al. Antibiotics (Basel). 2022 Nov 21;11(11):1674. doi: 10.3390/antibiotics11111674. Antibiotics (Basel). 2022. PMID: 36421316 Free PMC article. Review.
Antibiotic resistance (AR) is a naturally occurring phenomenon with the capacity to render useless all known antibiotics in the fight against bacterial infections. Although bacterial resistance appeared before any human life form, this process has accelerated in the …
Antibiotic resistance (AR) is a naturally occurring phenomenon with the capacity to render useless all known antibiotics in the fight …
Phage Endolysins: Advances in the World of Food Safety.
Nazir A, Xu X, Liu Y, Chen Y. Nazir A, et al. Cells. 2023 Aug 29;12(17):2169. doi: 10.3390/cells12172169. Cells. 2023. PMID: 37681901 Free PMC article. Review.
As antimicrobial resistance continues to escalate, the exploration of alternative approaches to safeguard food safety becomes more crucial than ever. ...Alternatively, the emergence of advanced high-throughput sequencing technology necessitates the creation of a robust com …
As antimicrobial resistance continues to escalate, the exploration of alternative approaches to safeguard food safety becomes more cr …
Next-Generation Breeding Strategies for Climate-Ready Crops.
Razzaq A, Kaur P, Akhter N, Wani SH, Saleem F. Razzaq A, et al. Front Plant Sci. 2021 Jul 21;12:620420. doi: 10.3389/fpls.2021.620420. eCollection 2021. Front Plant Sci. 2021. PMID: 34367194 Free PMC article. Review.
Now, the CRISPR/Cas systems have numerous applications in crop research and successfully edit the major crop to develop resistance against abiotic and biotic stress. By adopting high-throughput phenotyping approaches and big data analytics tools like artificial inte …
Now, the CRISPR/Cas systems have numerous applications in crop research and successfully edit the major crop to develop resistance ag …
PRAP: Pan Resistome analysis pipeline.
He Y, Zhou X, Chen Z, Deng X, Gehring A, Ou H, Zhang L, Shi X. He Y, et al. BMC Bioinformatics. 2020 Jan 15;21(1):20. doi: 10.1186/s12859-019-3335-y. BMC Bioinformatics. 2020. PMID: 31941435 Free PMC article.
BACKGROUND: Antibiotic resistance genes (ARGs) can spread among pathogens via horizontal gene transfer, resulting in imparities in their distribution even within the same species. ...This tool has the ability to further excavate potential relationships between antibiotic …
BACKGROUND: Antibiotic resistance genes (ARGs) can spread among pathogens via horizontal gene transfer, resulting in imparities in th …
Computational models, databases and tools for antibiotic combinations.
Lv J, Liu G, Hao J, Ju Y, Sun B, Sun Y. Lv J, et al. Brief Bioinform. 2022 Sep 20;23(5):bbac309. doi: 10.1093/bib/bbac309. Brief Bioinform. 2022. PMID: 35915052 Review.
Antibiotic combination is a promising strategy to extend the lifetime of antibiotics and thereby combat antimicrobial resistance. However, screening for new antibiotic combinations is both time-consuming and labor-intensive. ...In addition, we also collected and summarized …
Antibiotic combination is a promising strategy to extend the lifetime of antibiotics and thereby combat antimicrobial resistance. How …
From identification to forecasting: the potential of image recognition and artificial intelligence for aphid pest monitoring.
Batz P, Will T, Thiel S, Ziesche TM, Joachim C. Batz P, et al. Front Plant Sci. 2023 Jul 19;14:1150748. doi: 10.3389/fpls.2023.1150748. eCollection 2023. Front Plant Sci. 2023. PMID: 37538063 Free PMC article. Review.
These factors create a bottleneck in specimen processing. In this context, machine learning, image recognition and artificial intelligence have emerged as promising tools to address the shortcomings of manual identification and quantification in the analysis of such …
These factors create a bottleneck in specimen processing. In this context, machine learning, image recognition and artificial intelli …
Glyphosate Separating and Sensing for Precision Agriculture and Environmental Protection in the Era of Smart Materials.
Mazuryk J, Klepacka K, Kutner W, Sharma PS. Mazuryk J, et al. Environ Sci Technol. 2023 Jul 11;57(27):9898-9924. doi: 10.1021/acs.est.3c01269. Epub 2023 Jun 29. Environ Sci Technol. 2023. PMID: 37384557 Free PMC article. Review.
However, rolling exploitation of GLP and GBHs in the last decades has led to environmental pollution, animal intoxication, bacterial resistance, and sustained occupational exposure of the herbicide of farm and companies' workers. ...Fabricated as portable or wearable lab-o …
However, rolling exploitation of GLP and GBHs in the last decades has led to environmental pollution, animal intoxication, bacterial resi
Computational host range prediction-The good, the bad, and the ugly.
Howell AA, Versoza CJ, Pfeifer SP. Howell AA, et al. Virus Evol. 2023 Dec 20;10(1):vead083. doi: 10.1093/ve/vead083. eCollection 2024. Virus Evol. 2023. PMID: 38361822 Free PMC article.
The rapid emergence and spread of antimicrobial resistance across the globe have prompted the usage of bacteriophages (i.e. viruses that infect bacteria) in a variety of applications ranging from agriculture to biotechnology and medicine. ...We show that machine
The rapid emergence and spread of antimicrobial resistance across the globe have prompted the usage of bacteriophages (i.e. viruses t …
Changing the Game: Using Integrative Genomics to Probe Virulence Mechanisms of the Stem Rust Pathogen Puccinia graminis f. sp. tritici.
Figueroa M, Upadhyaya NM, Sperschneider J, Park RF, Szabo LJ, Steffenson B, Ellis JG, Dodds PN. Figueroa M, et al. Front Plant Sci. 2016 Feb 24;7:205. doi: 10.3389/fpls.2016.00205. eCollection 2016. Front Plant Sci. 2016. PMID: 26941766 Free PMC article. Review.
Such resistance genes typically encode immune receptor proteins that recognize specific components of the pathogen, known as avirulence (Avr) proteins. ...Identifying specific Avr genes from Pgt will provide screening tools to enhance pathogen virulence monitoring, …
Such resistance genes typically encode immune receptor proteins that recognize specific components of the pathogen, known as avirulen …
Evaluation of Machine Learning Models for Predicting Antimicrobial Resistance of Actinobacillus pleuropneumoniae From Whole Genome Sequences.
Liu Z, Deng D, Lu H, Sun J, Lv L, Li S, Peng G, Ma X, Li J, Li Z, Rong T, Wang G. Liu Z, et al. Front Microbiol. 2020 Feb 6;11:48. doi: 10.3389/fmicb.2020.00048. eCollection 2020. Front Microbiol. 2020. PMID: 32117101 Free PMC article.
Antimicrobial resistance (AMR) is becoming a huge problem in countries all over the world, and new approaches to identifying strains resistant or susceptible to certain antibiotics are essential in fighting against antibiotic-resistant pathogens. ...In this a …
Antimicrobial resistance (AMR) is becoming a huge problem in countries all over the world, and new approaches to identifying strains …
23 results