The curated, machine-learning-ready benchmark dataset of VacSol-ML(ESKAPE), containing protective vaccine antigens against ESKAPE pathogens, the leading cause of hospital-acquired and nosocomial infections worldwide.
The dataset includes protective and non-protective proteins annotated with over 3,650 biological and physicochemical features, enabling robust ML model development in reverse vaccinology.
| Target Pathogens | The ESKAPE family, comprising Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp. |
|---|---|
| Total Samples | 412 protein sequences |
| Features | 3,650 descriptors |
| Label | Final_predictions |
VacSol-ML (ESKAPE): Machine learning empowering vaccine antigen prediction for ESKAPE pathogens
Samavi Nasir, Farha Anwer, Zaara Ishaq, Muhammad Tariq Saeed, Amjad Ali
Vaccine, 2024, Volume 42, Issue 22, Article 126204
https://doi.org/10.1016/j.vaccine.2024.126204
Please cite this article when using the VacSol-ML (ESKAPE) dataset.