In Silico Identification of Probable Drug and Vaccine Candidates Against Antibiotic-Resistant Acinetobacter baumannii

2020 ◽  
Vol 26 (5) ◽  
pp. 456-467
Author(s):  
Elaheh Zadeh Hosseingholi ◽  
Gholamreza Zarrini ◽  
Marayam Pashazadeh ◽  
Seyed Mohammad Gheibi Hayat ◽  
Ghader Molavi
Keyword(s):  
Acinetobacter Baumannii ◽  
In Silico ◽  
Antibiotic Resistant ◽  
Vaccine Candidates ◽  
In Silico Identification

In silico identification of epitope-based vaccine candidates against HTLV-1

2021 ◽  
pp. 1-18
Author(s):  
Hamid Reza Jahantigh ◽  
Angela Stufano ◽  
Piero Lovreglio ◽  
Seyed Abdolrahim Rezaee ◽  
Khadijeh Ahmadi
Keyword(s):  
In Silico ◽  
Vaccine Candidates ◽  
In Silico Identification

scholarly journals Comparative in silico analyses of proteins involved in serum resistance as promising vaccine candidates against Acinetobacter baumannii

2017 ◽  
Vol 4 (3) ◽  
pp. 64-71 ◽  
Author(s):  
A Soltani Shirazi ◽  
O Azizi ◽  
N Bolourchi ◽  
Sh Aghamohammad ◽  
F Badmasti ◽  
...  
Keyword(s):  
Acinetobacter Baumannii ◽  
In Silico ◽  
Serum Resistance ◽  
Vaccine Candidates ◽  
In Silico Analyses

In silico identification of receptor specific epitopes as potential vaccine candidates from Vibrio cholerae strains

Gene Reports ◽  
2016 ◽  
Vol 4 ◽  
pp. 222-232 ◽  
Author(s):  
Nighat Noureen ◽  
Madiha Tariq ◽  
Amna Farooq ◽  
Ayesha Arif ◽  
Habib Bokhari
Keyword(s):  
Vibrio Cholerae ◽  
In Silico ◽  
Vaccine Candidates ◽  
Potential Vaccine ◽  
In Silico Identification

scholarly journals SCREENING OF PUTATIVE THERAPEUTIC CANDIDATES IN SUPERBUG (STAPHYLOCOCCUS AUREUS): A SYSTEMATIC IN SILICO APPROACH

2016 ◽  
pp. 283 ◽  
Author(s):  
Kiranmayi Patnala ◽  
Kunal Zaveri
Keyword(s):  
Staphylococcus Aureus ◽  
In Silico ◽  
Structure Prediction ◽  
Drug Targets ◽  
Vaccine Candidate ◽  
Antigenic Property ◽  
Optimal Treatment ◽  
Reverse Vaccinology ◽  
Antibiotic Resistant ◽  
Vaccine Candidates

<p>ABSTRACT<br />Objective: Staphylococcus aureus, a superbug and antibiotic resistant pathogen, is one of the most infection causing organism, ranging from skin<br />allergies to severe lethal conditions. The prolonged use of different antibiotics and lack of optimal treatment over the antibiotic resistant species, led<br />to the identification of new, better and promising therapeutic candidates. <br />Methods: A systematic in silico filtration process was employed, which includes subtractive channels and reverse vaccinology techniques. <br />Results: Here, we report 12 possible drug targets and two vaccine candidates based on essentiality, non-human homolog, virulent and localization,<br />commonly in all the strains. Further characterization studies such as pathway analysis, chokepoint and structure prediction revealed, two proteins<br />as the best drug targets one being novel and the other druggable. Only one protein has shown the characteristic feature of vaccine candidate, having<br />antigenic property and an IgG binding domain. <br />Conclusion: Two best drug targets were commonly identified in all the strains of S. aureus namely UDP-N-acetylmuramoyl-L-alanyl-D-glutamate--L-lysine<br />ligase (MurE) and cell division protein FtsA, whereas the best common vaccine candidate includes Peptidoglycan binding protein. The therapeutic candidates<br />reported in the present study might facilitate screening of new and better antimicrobial compounds, for an optimal treatment of S. aureus infections.<br />Keywords: Staphylococcus aureus, Drug target, Vaccine candidates, Subtractive proteomics, Reverse vaccinology.</p>

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