Antiprotozoal peptide prediction using machine learning with effective feature selection techniques
2024 · Heliyon · 15 citations
https://doi.org/10.1016/j.heliyon.2024.e36163
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Neha Periwal
Jamia Hamdard(IN)
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16
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112
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8
h-index
5
i10-index
Neha Periwal is an academic researcher from Jamia Hamdard. The author has contributed to research in topics: vaccines and immunoinformatics approaches & SARS-CoV-2 and COVID-19 Research & MicroRNA in disease regulation. The author has an h-index of 8, co-authored 14 publications.
Papers by this author
worksiIL13Pred: improved prediction of IL-13 inducing peptides using popular machine learning classifiers
2023 · BMC Bioinformatics · 13 citations
https://doi.org/10.1186/s12859-023-05248-6
Antiviral activity of the human endogenous retrovirus‐R envelope protein against SARS‐CoV‐2
2023 · EMBO Reports · 8 citations
https://doi.org/10.15252/embr.202255900
AntiProtoZ: An assemblage of antiprotozoal peptides
2025 · The Microbe · 0 citations
https://doi.org/10.1016/j.microb.2025.100653
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