scholarly journals Prioritisation of potential drug targets against Bartonella bacilliformis by an integrative in-silico approach

2020 ◽  
Vol 115 ◽  
Author(s):  
Mariella Farfán-López ◽  
Abraham Espinoza-Culupú ◽  
Ruth García-de-la-Guarda ◽  
Federico Serral ◽  
Ezequiel Sosa ◽  
...  
2011 ◽  
Vol 51 (8) ◽  
pp. 1882-1896 ◽  
Author(s):  
Matteo Calvaresi ◽  
Francesco Zerbetto

2020 ◽  
Author(s):  
Marwah Karim ◽  
MD Nazrul Islam ◽  
G. M. Nurnabi Azad Jewel

AbstractOnce believed to be a commensal bacteria, Enterococcus faecium has recently emerged as an important nosocomial pathogen worldwide. A recent outbreak of E. faecium unrevealed natural and in vitro resistance against a myriad of antibiotics namely ampicillin, gentamicin and vancomycin due to over-exposure of the pathogen to these antibiotics. This fact combined with the ongoing threat demands the identification of new therapeutic targets to combat E. faecium infections.In this present study, comparative proteome analysis, subtractive genomic approach, metabolic pathway analysis and additional drug prioritizing parameters were used to propose a potential novel drug targets for E. faecium strain DO. Comparative genomic analysis of Kyoto Encyclopedia of Genes and Genomes annotated metabolic pathways identified a total of 207 putative target proteins in E. faecium DO that showed no similarity to human proteins. Among them 105 proteins were identified as essential novel proteins that could serve as potential drug targets through further bioinformatic approaches; such as-prediction of subcellular localization, calculation of molecular weight, and web-based investigation of 3D structural characterization. Eventually 19 non-homologous essential proteins of E. faecium DO were prioritized and proved to have the eligibility to become novel broad-spectrum antibiotic targets. Among these targets aldehyde-alcohol dehydrogenase was found to be involved in maximum pathways, and therefore, was chosen as novel drug target. Interestingly, aldehyde-alcohol dehydrogenase enzyme contains two domains namely acetaldehyde dehydrogenase and alcohol dehydrogenase, on which a 3D structure homology modeling and in silico molecular docking were performed. Finally, eight molecules were confirmed as the most suitable ligands for aldehyde-alcohol dehydrogenase and hence proposed as the potential inhibitors of this target.In conclusion, being human non-homologous, aldehyde-alcohol dehydrogenase protein can be targeted for potential therapeutic drug development in future. However, laboratory based experimental research should be performed to validate our findings in vivo.


2014 ◽  
Vol 52 ◽  
pp. 66-72 ◽  
Author(s):  
Md. Anisur Rahman ◽  
Md. Sanaullah Noore ◽  
Md. Anayet Hasan ◽  
Md. Rakib Ullah ◽  
Md. Hafijur Rahman ◽  
...  

2017 ◽  
Vol 176 ◽  
pp. 66-74 ◽  
Author(s):  
Miguel A. Chávez-Fumagalli ◽  
Mônica S. Schneider ◽  
Daniela P. Lage ◽  
Ricardo A. Machado-de-Ávila ◽  
Eduardo A.F. Coelho

2009 ◽  
Vol 9 (3) ◽  
pp. 351-358 ◽  
Author(s):  
Segun Fatumo ◽  
Kitiporn Plaimas ◽  
Jan-Philipp Mallm ◽  
Gunnar Schramm ◽  
Ezekiel Adebiyi ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-6
Author(s):  
Mahantesh M. Kurjogi ◽  
Basappa B. Kaliwal

The purpose of this study is to deal with aetiology causing bovine mastitis; bovine herpes virus is also responsible for causing bovine mastitis but studies on viruses have been neglected as historical mastitis research has concentrated only on bacterial pathogens. Therefore, present study aims to make an in silico identification and characterization of potential drug targets in bovine herpes virus 4 by computational methods using various bioinformatics tools. In the current investigation 5 proteins of BoHV 4 were found to be nonhomologous to the host Bos taurus; these nonhomology proteins were believed to be inevitable proteins of BoHV 4 as they were specific to the virus; however 378 proteins were homologous to the host protein. The in silico physicochemical characterization of 5 proteins of BoHV 4 indicated that all the proteins of the virus were having more or less similar characteristics. Perhaps the knowledge of the present study may help in drug discovery which have high affinity to target site. Possible drug discovery to manage bovine mastitis with a help of bioinformatics tool is more significant and, specific and, reduces time and complications involved in clinical trials.


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