Computer-assisted design of a novel peptide vaccine against multidrug-resistant Nocardia farcinica

Abstract Nocardia farcinica is a rare but clinically significant pathogen causing nocardiosis, a severe opportunistic infection. Although isolates are generally susceptible to antibiotics such as amikacin, imipenem, ciprofloxacin, and trimethoprim-sulfamethoxazole, the recent emergence of resistant strains highlights the urgent need for novel therapeutic strategies. This study employed subtractive proteomics and reverse vaccinology methods to identify potential vaccine targets against N. farcinica . The reference proteome comprising 5934 proteins was analyzed, and host non-homologous proteins were identified after comparison with the human and gut microbiome proteomes. Subsequent analyses of virulence, antibiotic resistance, and subcellular localization led to the selection of potential drug and vaccine candidates. Among these, one protein (WP_011210770.1) met all physicochemical, antigenicity, and allergenicity criteria. The epitopes were predicted with T-cell epitopes showing 99.95% coverage of MHC-binding alleles. The multi-epitope vaccine construct was designed by incorporating selected specific B- and T-cell epitopes, adjuvants, linkers, and a PADRE sequence to enhance immunogenicity. The construct was evaluated for antigenicity, allergenicity, toxicity, and solubility, confirming its safety and immunogenic potential. Molecular docking, NMA evaluation, molecular dynamics simulations, principal component analysis, MM-GBSA, and dynamic cross-correlation analyses demonstrated stable interactions with the human TLR4 receptor. Immune simulations predicted that the vaccine may induce strong and sustained immune response, while codon optimization and in-silico cloning validated its expression feasibility in a bacterial host. In conclusion, this study predicted promising vaccine targets and proposed a chimeric vaccine candidate with strong predicted immunogenicity, warranting additional in-vitro and in-vivo validation to enhance therapeutic development against nocardiosis.

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Journal
Network Modeling Analysis in Health Informatics and Bioinformatics
Published
2026-06-26
DOI
https://doi.org/10.1007/s13721-026-00813-4
Primary Topic
vaccines and immunoinformatics approaches
Type
article
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article

Computer-assisted design of a novel peptide vaccine against multidrug-resistant Nocardia farcinica

Umar Nishan, Hamna Bashir, Mohibullah Shah, Asifa Sarfraz et al.
Network Modeling Analysis in Health Informatics and Bioinformatics
vaccines and immunoinformatics approaches
article

Computer-assisted design of a novel peptide vaccine against multidrug-resistant Nocardia farcinica

Umar Nishan, Hamna Bashir, Mohibullah Shah, Asifa Sarfraz, Fizza Arshad, A Ali, Muhammad Shehroz, Khaled Fahmi Fawy
article en

Abstract

Abstract Nocardia farcinica is a rare but clinically significant pathogen causing nocardiosis, a severe opportunistic infection. Although isolates are generally susceptible to antibiotics such as amikacin, imipenem, ciprofloxacin, and trimethoprim-sulfamethoxazole, the recent emergence of resistant strains highlights the urgent need for novel therapeutic strategies. This study employed subtractive proteomics and reverse vaccinology methods to identify potential vaccine targets against N. farcinica . The reference proteome comprising 5934 proteins was analyzed, and host non-homologous proteins were identified after comparison with the human and gut microbiome proteomes. Subsequent analyses of virulence, antibiotic resistance, and subcellular localization led to the selection of potential drug and vaccine candidates. Among these, one protein (WP_011210770.1) met all physicochemical, antigenicity, and allergenicity criteria. The epitopes were predicted with T-cell epitopes showing 99.95% coverage of MHC-binding alleles. The multi-epitope vaccine construct was designed by incorporating selected specific B- and T-cell epitopes, adjuvants, linkers, and a PADRE sequence to enhance immunogenicity. The construct was evaluated for antigenicity, allergenicity, toxicity, and solubility, confirming its safety and immunogenic potential. Molecular docking, NMA evaluation, molecular dynamics simulations, principal component analysis, MM-GBSA, and dynamic cross-correlation analyses demonstrated stable interactions with the human TLR4 receptor. Immune simulations predicted that the vaccine may induce strong and sustained immune response, while codon optimization and in-silico cloning validated its expression feasibility in a bacterial host. In conclusion, this study predicted promising vaccine targets and proposed a chimeric vaccine candidate with strong predicted immunogenicity, warranting additional in-vitro and in-vivo validation to enhance therapeutic development against nocardiosis.

Network Modeling Analysis in Health Informatics and BioinformaticsVol. 15(1)
Bahauddin Zakariya University (PK), Kohat University of Science and Technology (PK), Abdul Wali Khan University Mardan (PK), Universidade Federal do Ceará (BR), Kohsar University Murree, King Khalid University (SA)
Good health and well-being
Openalex Percentile: Top 10%
vaccines and immunoinformatics approaches
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