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Therapeutic Methods and Therapies TCIM
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1.
Viruses ; 14(4)2022 04 16.
Article in English | MEDLINE | ID: mdl-35458561

ABSTRACT

The rapid emergence of antibiotic resistance is of major concern globally. Among the most worrying pathogenic bacteria are vancomycin-resistant enterococci. Phage therapy is a highly promising method for controlling enterococcal infections. In this study, we described two virulent tailed bacteriophages possessing lytic activity against Enterococcus faecalis and E. faecium isolates. The SSsP-1 bacteriophage belonged to the Saphexavirus genus of the Siphoviridae family, and the GVEsP-1 bacteriophage belonged to the Schiekvirus genus of Herelleviridae. The genomes of both viruses carried putative components of anti-CRISPR systems and did not contain known genes coding for antibiotic-resistance determinants and virulence factors. The conservative arrangement of protein-coding sequences in Saphexavirus and Schiekvirus genomes taken together with positive results of treating enterococcal peritonitis in an animal infection model imply the potential suitability of GVEsP-1 and SSsP-1 bacteriophages for clinical applications.


Subject(s)
Bacteriophages , Gram-Positive Bacterial Infections , Phage Therapy , Siphoviridae , Animals , Anti-Bacterial Agents/pharmacology , Anti-Bacterial Agents/therapeutic use , Bacteriophages/genetics , Enterococcus , Enterococcus faecalis/genetics , Gram-Positive Bacterial Infections/microbiology , Microbial Sensitivity Tests , Siphoviridae/genetics
2.
Nat Prod Rep ; 31(11): 1585-611, 2014 Nov.
Article in English | MEDLINE | ID: mdl-25051191

ABSTRACT

In silico approaches have been widely recognised to be useful for drug discovery. Here, we consider the significance of available databases of medicinal plants and chemo- and bioinformatics tools for in silico drug discovery beyond the traditional use of folk medicines. This review contains a practical example of the application of combined chemo- and bioinformatics methods to study pleiotropic therapeutic effects (known and novel) of 50 medicinal plants from Traditional Indian Medicine.


Subject(s)
Drug Discovery , Medicine, Traditional , Plants, Medicinal/chemistry , Computational Biology , Databases, Factual , Molecular Structure
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