Identification of docosahexaenoic and eicosapentaenoic acids multiple targets facing periodontopathogens

Dahlen, 2020, Current concepts and an alternative perspective on periodontal disease, BMC Oral Health, 20, 235, 10.1186/s12903-020-01221-4 Janakiram, 2000, A public health approach for prevention of periodontal disease, Periodontol, 84, 202, 10.1111/prd.12337 Papapanou, 2018, Periodontitis: consensus report of workgroup 2 of the 2017 world workshop on the classification of periodontal and peri-implant diseases and conditions, J. Periodontol., 89, S173, 10.1002/JPER.17-0721 Chapple, 2018, Periodontal health and gingival diseases and conditions on an intact and a reduced periodontium: consensus report of workgroup 1 of the 2017 World Workshop on the Classification of Periodontal and Peri-Implant Diseases and Conditions, J. Clin. Periodontol., 45, S68, 10.1111/jcpe.12940 Thangavelu, 2020, Chlorhexidine: an elixir for periodontics, J. Pharm. BioAllied Sci., 12, S57, 10.4103/jpbs.JPBS_162_20 Haas, 2014, Mouthwashes for the control of supragingival biofilm and gingivitis in orthodontic patients: evidence-based recommendations for clinicians, Braz. Oral Res., 11, 1, 10.1590/1807-3107BOR-2014.vol28.0021 Hajishengallis, 2000, Current understanding of periodontal disease pathogenesis and targets for host-modulation therapy, Periodontol, 84, 14, 10.1111/prd.12331 Albuquerque-Souza, 2020, Maresin-1 and resolvin E1 promote regenerative properties of periodontal ligament stem cells under inflammatory conditions, Front. Immunol., 11, 585530, 10.3389/fimmu.2020.585530 Chiang, 2020, Specialized pro-resolving mediator network: an update on production and actions, Essays Biochem., 64, 443, 10.1042/EBC20200018 Azzi, 2018, n-3 Ingestion may modulate the severity of periodontal disease? Systematic review, Crit. Rev. Food Sci. Nutr., 58, 1937, 10.1080/10408398.2017.1278677 Kruse, 2020, What is the impact of the adjunctive use of omega-3 fatty acids in the treatment of periodontitis? A systematic review and meta-analysis, Lipids Health Dis., 19, 100, 10.1186/s12944-020-01267-x Ribeiro-Vidal, 2020, Antimicrobial activity of EPA and DHA against oral pathogenic bacteria using an in vitro multi-species subgingival biofilm model, Nutrients, 12, 2812, 10.3390/nu12092812 Assis, 2020, Antinociceptive activity of chemical components of essential oils that involves docking studies: a review, Front. Pharmacol., 11, 777, 10.3389/fphar.2020.00777 Yi, 2020, Integrated meta-analysis, network pharmacology, and molecular docking to investigate the efficacy and potential pharmacological mechanism of Kai-Xin-San on Alzheimer's disease, Pharm. Biol., 58, 932, 10.1080/13880209.2020.1817103 Pappalardo, 2019, In silico clinical trials: concepts and early adoptions, Briefings Bioinf., 20, 1699, 10.1093/bib/bby043 Priyadharsini, 2019, In silico validation of non-antibiotic drugs, acetaminophen and ibuprofen as antibacterial agents against red complex pathogens, J. Periodontol., 90, 1441, 10.1002/JPER.18-0673 Szklarczyk, 2016, Stitch 5: augmenting protein-chemical interaction networks with tissue and affinity data, Nucleic Acids Res., 44, D380, 10.1093/nar/gkv1277 Saha, 2006, VICMpred: SVM-based method for the prediction of functional proteins of gram-negative bacteria using amino acid patterns and composition, Dev. Reprod. Biol., 4, 42 Gupta, 2014, MP3: a software tool for the prediction of pathogenic proteins in genomic and metagenomic data, PLoS One, 9, 10.1371/journal.pone.0093907 Yu, 2014, CELLO2GO: a web server for protein subCELlular LOcalization prediction with functional gene ontology annotation, PLoS One, 9, 10.1371/journal.pone.0099368 Sette-de-Souza, 2021, Dental workers in front-line of COVID-19: an in silico evaluation targeting their prevention, J. Appl. Oral Sci., 29, 10.1590/1678-7757-2020-0678 Volkamer, 2012, Combining global and local measures for structure-based druggability predictions, J. Chem. Inf. Model., 52, 360, 10.1021/ci200454v Trott, 2010, AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading, J. Comput. Chem., 31, 455, 10.1002/jcc.21334 Laskowski, 2011, LigPlot+: multiple ligand-protein interaction diagrams for drug discovery, J. Chem. Inf. Model., 51, 2778, 10.1021/ci200227u Impey, 2020, Overcoming intrinsic and acquired resistance mechanisms associated with the cell wall of gram-negative bacteria, Antibiotics (Basel), 9, 623, 10.3390/antibiotics9090623 Han, 2015, Fusobacterium nucleatum: a commensal-turned pathogen, Curr. Opin. Microbiol., 23, 141, 10.1016/j.mib.2014.11.013 Rickard, 2003, Bacterial coaggregation: an integral process in the development of multi-species biofilms, Trends Microbiol., 11, 94, 10.1016/S0966-842X(02)00034-3 Chaushu, 2012, Direct recognition of Fusobacterium nucleatum by the NK cell natural cytotoxicity receptor NKp46 aggravates periodontal disease, PLoS Pathog., 8, 10.1371/journal.ppat.1002601 Zgurskaya, 2011, Mechanism and function of the outer membrane channel TolC in multidrug resistance and physiology of enterobacteria, Front. Microbiol., 2, 189, 10.3389/fmicb.2011.00189 Sulavik, 2001, Antibiotic susceptibility profiles of Escherichia coli strains lacking multidrug efflux pump genes, Antimicrob. Agents Chemother., 45, 1126, 10.1128/AAC.45.4.1126-1136.2001 Makarova, 2011, Evolution and classification of the CRISPR-Cas systems, Nat. Rev. Microbiol., 9, 467, 10.1038/nrmicro2577 Miryala, 2021, Gene interaction network approach to elucidate the multidrug resistance mechanisms in the pathogenic bacterial strain Proteus mirabilis, J. Cell. Physiol., 236, 468, 10.1002/jcp.29874 Che, 2019, Analysis of multidrug resistance in Streptococcus suis ATCC 700794 under tylosin stress, Virulence, 10, 58, 10.1080/21505594.2018.1557505