Priyadarshini Pai

发表

SPRINGS: Prediction of Protein- Protein Interaction Sites Using Artificial Neural Networks

Kaustubh D. Dhole, Gurdeep Singh, S. Mondal, 2014 .

Sequence-based prediction of protein-protein interaction sites with L1-logreg classifier.

Kaustubh D. Dhole, Gurdeep Singh, S. Mondal, 2014, Journal of theoretical biology.

Chou's pseudo amino acid composition improves sequence-based antifreeze protein prediction.

Sukanta Mondal, Priyadarshini P Pai, S. Mondal, 2014, Journal of theoretical biology.

PINGU: PredIction of eNzyme catalytic residues usinG seqUence information

S. Mondal, Priyadarshini Pai, S. Ranjani, 2015, PloS one.

Computational Approaches for Animal Toxins to Aid Drug Discovery

S. Mondal, Priyadarshini Pai, 2015 .

On-Device detection of sentence completion for voice assistants with low-memory footprint

Priyadarshini Pai, Rahul Kumar, Vijeta Gour, 2020, ICON.

Intriguing Cystine-Knot Miniproteins in Drug Design and Therapeutics

S. Mondal, Priyadarshini Pai, 2016 .

Pseudo amino acid composition improves antifreeze protein prediction

Sukanta Mondal, S. Mondal, Priyadarshini Pai, 2014 .

Wafer Defect Localization and Classification Using Deep Learning Techniques

S. P. Adiga, Priyadarshini Pai, Prashant P. Shinde, 2022, IEEE Access.

MOWGLI: prediction of protein–MannOse interacting residues With ensemble classifiers usinG evoLutionary Information

Sukanta Mondal, Priyadarshini P Pai, S. Mondal, 2016, Journal of biomolecular structure & dynamics.

Ensemble Architecture for Prediction of Enzyme‐ligand Binding Residues Using Evolutionary Information

Sukanta Mondal, Priyadarshini P Pai, Rohit Kadam Dattatreya, 2017, Molecular informatics.