HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation
2020 · Bioinformatics · 201 citations
https://doi.org/10.1093/bioinformatics/btaa160
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Nalini Schaduangrat
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Nalini Schaduangrat is an academic researcher from Mahidol University. The author has contributed to research in topics: Machine Learning in Bioinformatics & Computational Drug Discovery Methods & vaccines and immunoinformatics approaches. The author has an h-index of 24, co-authored 61 publications.
ORCID: 0000-0002-0842-8277Papers by this author
worksTowards reproducible computational drug discovery
2020 · Journal of Cheminformatics · 187 citations
https://doi.org/10.1186/s13321-020-0408-x
THPep: A machine learning-based approach for predicting tumor homing peptides
2019 · Computational Biology and Chemistry · 84 citations
https://doi.org/10.1016/j.compbiolchem.2019.05.008
DeepAR: a novel deep learning-based hybrid framework for the interpretable prediction of androgen receptor antagonists
2023 · Journal of Cheminformatics · 45 citations
https://doi.org/10.1186/s13321-023-00721-z
Stack-AVP: A Stacked Ensemble Predictor Based on Multi-view Information for Fast and Accurate Discovery of Antiviral Peptides
2024 · Journal of Molecular Biology · 23 citations
https://doi.org/10.1016/j.jmb.2024.168853
PSRQSP: An effective approach for the interpretable prediction of quorum sensing peptide using propensity score representation learning
2023 · Computers in Biology and Medicine · 21 citations
https://doi.org/10.1016/j.compbiomed.2023.106784
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