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Capalash, N.

Publications and source records attributed to Capalash, N..

2 recordsLinked to original sources

Immunoinformatic Designing and Evaluation of a Broad-Spectrum Multiepitope Vaccine Against MDR Acinetobacter baumannii, Klebsiella pneumoniae and Pseudomonas aeruginosa

Acinetobacter baumannii, Klebsiella pneumoniae and Pseudomonas aeruginosa are among the multidrug-resistant (MDR) Gram-negative pathogens that pose a growing threat, necessitating novel preventive measures in addition to traditional antibiotics. By using advanced immunoinformatics methods, highly conserved and immunogenic epitopes for B-cells and T-cells were selected from major virulence-associated proteins (LptE, YiaD, MrkD, PhoE, OprF, and Zot), which exhibited high antigenicity (VaxiJen scores 0.74-2.75) and 98.87% global population coverage. The construct vaccine comprises 50S ribosomal protein L7/L12 adjuvant and PADRE sequence for immunogenicity enhancement, with structural validation indicating stability (96.3% residues in the total allowed Ramachandran regions). High-affinity interactions with TLR2/TLR4 (binding energies: -1009.6 to -1079.6 kcal/mol) were found through molecular docking, and immune simulations suggested strong humoral (IgM/IgG) and cellular (IFN-{gamma}/IL-12) responses. Importantly, MEP vaccines can overcome major drawbacks of traditional vaccines by (1) offering cross-strain protection via conserved epitopes, (2) lowering the need for antibiotics through infection prevention, and (3) providing affordable options for healthcare systems affected by MDR infections. These findings demonstrate the MEP constructs potential as a preventative measure against nosocomial infections, which may have implications for combating the global AMR epidemic. Further experimental validation is needed to verify its efficacy.

immunology↗

A Novel AI-Designed Antimicrobial Peptide Synergistically Potentiates Aminoglycosides against Colistin- and Carbapenem-Resistant Acinetobacter baumannii

The urgent necessity for new antibiotics becomes glaringly evident with the relentless rise of multidrug-resistant (MDR) Acinetobacter baumannii in clinical environments, where its infections lead to alarmingly high mortality rates. Antimicrobial peptides (AMPs) represent a promising novel option to combat nosocomial infections caused by MDR A. baumannii. In this study, six novel synthetic peptides were designed through generative artificial intelligence (AI) and synthesized for further experiments. Peptides AIG-R1, AIG-R4, and AIG-R5 showed potent broad-spectrum antibacterial activity against Gram positive and Gram negative pathogens. One of the peptides, AIG-R5, was effective even against colistin and carbapenem-resistant strains of A. baumannii, prevented biofilm formation, and eradicated established biofilms by 60%. Notably, AIG-R5 enhanced the activity of different antibiotics and was found to exhibit synergistic activity with antibiotics from the Aminoglycoside class. The combination of AIG-R5 and Tobramycin at 1/8xMIC and 1/4xMIC effectively reduced pre-formed biofilms of carbapenem resistant A. baumannii more than either component alone, as documented by confocal laser scanning microscopy (CLSM). Significant dose reduction and negligible cytotoxicity exhibited by AIG-R5 with aminoglycosides further encourages evaluation of the combinations therapeutic potential in vivo against MDR A. baumannii infections.

microbiology↗