2020
DOI: 10.1186/s12860-020-00328-4
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Identification of biomarkers for the accurate and sensitive diagnosis of three bacterial pneumonia pathogens using in silico approaches

Abstract: Background Pneumonia ranks as one of the main infectious sources of mortality among kids under 5 years of age, killing 2500 a day; late research has additionally demonstrated that mortality is higher in the elderly. A few biomarkers, which up to this point have been distinguished for its determination lack specificity, as these biomarkers fail to build up a differentiation between pneumonia and other related diseases, for example, pulmonary tuberculosis and Human Immunodeficiency Infection (HIV… Show more

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Cited by 9 publications
(15 citation statements)
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“…Antimicrobial peptides have shown tremendous potential in circumventing the drawbacks of these systems and appear to be the favorite choice in diagnostic development due to their numerous properties that overcome these shortcomings, such as their small size, ease of modification, high stability, and minor/non-toxicity. The HMMER machine learning tool was employed to construct predictive models to identify sensitive and specific AMPs against Streptococcus pneumonia, Klebsiella pneumonia, Acinetobacter baumannii, respiratory syncytial virus, and the influenza A and B viruses in our previous studies [ 15 , 16 ]. This research employed the predicted AMPs as parental peptides to develop derivative AMPs using site-directed mutagenesis.…”
Section: Discussionmentioning
confidence: 99%
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“…Antimicrobial peptides have shown tremendous potential in circumventing the drawbacks of these systems and appear to be the favorite choice in diagnostic development due to their numerous properties that overcome these shortcomings, such as their small size, ease of modification, high stability, and minor/non-toxicity. The HMMER machine learning tool was employed to construct predictive models to identify sensitive and specific AMPs against Streptococcus pneumonia, Klebsiella pneumonia, Acinetobacter baumannii, respiratory syncytial virus, and the influenza A and B viruses in our previous studies [ 15 , 16 ]. This research employed the predicted AMPs as parental peptides to develop derivative AMPs using site-directed mutagenesis.…”
Section: Discussionmentioning
confidence: 99%
“…The docking interaction analysis of the antibacterial and antiviral pneumonia AMPs was carried out against their respective protein receptors, as identified in our previous study [ 15 ]. The online protein–protein interaction server PATCHDOCK was employed for this analysis [ 23 ].…”
Section: Methodsmentioning
confidence: 99%
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“…The isoelectric point (pI) of peptides is a component of individual amino acids in both original structures. A negative Boman index is said to be related to a more hydrophobic peptide, demonstrating a high protein binding potential, while a more hydrophilic peptide will, in general, have a more positive index [ 56 ]. In any case, the propensity of certain peptides to be positive in their Boman index values has been associated with the capacity to identify HIV in a lateral flow device [ 17 ].…”
Section: Discussionmentioning
confidence: 99%
“…Molecular dynamic (MD) approaches have been adopted to study the relationship between the biological function and mechanism of HDPs to optimize these antibiotic candidates. In silico technologies, such as HMMER, with molecular validation techniques have also been used to explore the use of novel HDPs as diagnostic candidates against three bacterial pneumonias and HIV with great promise for industrial collaborations in a lateral flow device [83,84].…”
Section: Discovery Techniques For the Identification Of Sensitive Hdpsmentioning
confidence: 99%