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VPAgs-Dataset4ML

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Zakia commited on Aug 4, 2024

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 **VPAgs-Dataset4ML** comprises 2,145 viral protein sequences, curated to facilitate the development of machine learning models capable of predicting viral protective antigens (PAgs). These antigens are crucial for designing vaccines against various viral pathogens. The dataset is divided into two categories: 210 protective antigens (positive class) and 1,935 non-protective protein sequences (negative class), derived from the Protegen database and UniProt, respectively. This collection aims to support and accelerate research in reverse vaccinology, providing a valuable resource for bioinformatics and public health.
-- **Curated by:** Zakia Salod from the University of KwaZulu-Natal and Ozayr Mahomed from the University of KwaZulu-Natal and Dasman Diabetes Institute.
 - **Funded by** National Research Foundation (NRF) of South Africa (grant number 130187) and College of Health Sciences (CHS) of the University of KwaZulu-Natal (UKZN) in Durban, Kwa-Zulu-Natal, South Africa.
 - **Language(s) (NLP):** English.
 - **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)

 **VPAgs-Dataset4ML** comprises 2,145 viral protein sequences, curated to facilitate the development of machine learning models capable of predicting viral protective antigens (PAgs). These antigens are crucial for designing vaccines against various viral pathogens. The dataset is divided into two categories: 210 protective antigens (positive class) and 1,935 non-protective protein sequences (negative class), derived from the Protegen database and UniProt, respectively. This collection aims to support and accelerate research in reverse vaccinology, providing a valuable resource for bioinformatics and public health.
+- **Curated by:** Zakia Salod and Ozayr Mahomed from the University of KwaZulu-Natal.
 - **Funded by** National Research Foundation (NRF) of South Africa (grant number 130187) and College of Health Sciences (CHS) of the University of KwaZulu-Natal (UKZN) in Durban, Kwa-Zulu-Natal, South Africa.
 - **Language(s) (NLP):** English.
 - **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)