AIMC Topic: Bacterial Vaccines

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A descriptor-free machine learning framework to improve antigen discovery for bacterial pathogens.

PloS one Jun 5, 2025
Identifying protective antigens (PAs), i.e., targets for bacterial vaccines, is challenging as conducting in-vivo tests at the proteome scale is impractical. Reverse Vaccinology (RV) aids in narrowing down the pool of candidates through computational...
Neural Networks, Computer Computational Biology Antigens, Bacterial Bacterial Vaccines Vaccinology Machine Learning Software Bacteria
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Multi-Omics Analysis of the virulence factors and designing of next-generation multi-epitopes Vaccines against Rickettsia prowazekii: a computer-aided vaccine designing approach.

Journal of computer-aided molecular design May 26, 2025
Rickettsia is a genus of bacteria that are obligate intracellular parasites and are responsible for the febrile diseases known collectively as Rickettsioses. The emergence of antibiotic resistance is an escalating concern and thus developing a vaccin...
Molecular Docking Simulation Computer-Aided Design Multiomics Humans Machine Learning Epitopes, T-Lymphocyte Rickettsia Infections Bacterial Vaccines Rickettsial Vaccines Rickettsia prowazekii Epitopes Virulence Factors Epitopes, B-Lymphocyte
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-targeted AI-driven vaccines: a paradigm shift in gastric cancer prevention.

Frontiers in immunology Nov 28, 2024
, a globally prevalent pathogen Group I carcinogen, presents a formidable challenge in gastric cancer prevention due to its increasing antimicrobial resistance and strain diversity. This comprehensive review critically analyzes the limitations of con...
Humans Artificial Intelligence Precision Medicine Stomach Neoplasms Animals Bacterial Vaccines Vaccine Development Helicobacter Infections Helicobacter pylori
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Integrated structural proteomics and machine learning-guided mapping of a highly protective precision vaccine against mycoplasma pulmonis.

International immunopharmacology Aug 16, 2024
Mycoplasma pulmonis (M. pulmonis) is an emerging respiratory infection commonly linked to prostate cancer, and it is classified under the group of mycoplasmas. Improved management of mycoplasma infections is essential due to the frequent ineffectiven...
T-Lymphocytes, Cytotoxic Mycoplasma Infections Epitopes, B-Lymphocyte Bacterial Vaccines Epitope Mapping Animals Epitopes, T-Lymphocyte Molecular Docking Simulation Bacterial Proteins Antigens, Bacterial Mice Proteomics Humans Machine Learning
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VacSol-ML(ESKAPE) Machine learning empowering vaccine antigen prediction for ESKAPE pathogens.

Vaccine Aug 9, 2024
The ESKAPE family, comprising Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp., poses a significant global threat due to their heightened virulence and extensiv...
Vaccinology Enterobacter Antigens, Bacterial Enterococcus faecium Bacterial Vaccines Machine Learning Klebsiella pneumoniae Computational Biology Staphylococcus aureus Pseudomonas aeruginosa Acinetobacter baumannii Humans
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Preclinical efficacy of a cell division protein candidate gonococcal vaccine identified by artificial intelligence.

mBio Oct 31, 2023
Vaccines to curb the global spread of multidrug-resistant gonorrhea are urgently needed. Here, 26 vaccine candidates identified by an artificial intelligence-driven platform (Efficacy Discriminative Educated Network[EDEN]) were screened for efficacy ...
Bacterial Vaccines Vagina Antigens, Bacterial Cell Division Animals Neisseria gonorrhoeae Artificial Intelligence Mice Gonorrhea Female Disease Models, Animal Antibodies, Bacterial Bacterial Proteins
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Ontology-based literature mining of E. coli vaccine-associated gene interaction networks.

Journal of biomedical semantics Mar 14, 2017
BACKGROUND: Pathogenic Escherichia coli infections cause various diseases in humans and many animal species. However, with extensive E. coli vaccine research, we are still unable to fully protect ourselves against E. coli infections. To more rational...
Escherichia coli Data Mining Biological Ontologies Gene Regulatory Networks Genomics Bacterial Vaccines
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Enhancing the Biological Relevance of Machine Learning Classifiers for Reverse Vaccinology.

International journal of molecular sciences Feb 1, 2017
Reverse vaccinology (RV) is a bioinformatics approach that can predict antigens with protective potential from the protein coding genomes of bacterial pathogens for subunit vaccine design. RV has become firmly established following the development of...
Vaccines, Subunit Bacterial Proteins Computational Biology Antigens, Bacterial Humans Support Vector Machine Bacterial Vaccines Area Under Curve Epitopes Epitope Mapping Machine Learning Mutagenesis ROC Curve
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Decoding virulence and resistance in Klebsiella pneumoniae: Pharmacological insights, immunological dynamics, and in silico therapeutic strategies.

Microbial pathogenesis Aug 1, 2025
Klebsiella pneumoniae (K. pneumoniae) has become a serious global health concern due to its rising virulence and antibiotic resistance. As one of the leading members of ESKAPE pathogens, it plays a major role in a wide range of infections that cause ...
Klebsiella pneumoniae Klebsiella Infections Virulence Factors Computer Simulation Humans Drug Discovery Virulence Bacterial Vaccines Anti-Bacterial Agents Drug Resistance, Multiple, Bacterial beta-Lactamases Immune Evasion Drug Resistance, Bacterial
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