Balachandran Manavalan
Gyeonggi-do, Republic of Korea
Last Updated: 09/26/2026
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Found 117 publications
Corrigendum to "GinDB-AI: An integrated database of Panax-derived compounds and an AI-driven platform for multidimensional information and biological activity prediction" [J Ginseng Res 50/3 (2026) 100986].
Journal: Journal of ginseng research
Published: July 03, 2026
Decoding apoptosis, ferroptosis, and inflammatory cell death in adenomyosis at single-cell resolution.
Journal: Briefings in bioinformatics
Published: April 16, 2026
CONTRA-IL6: an interpretable hybrid convolutional neural network and Transformer framework for accurate prediction of interleukin-6-inducing peptides using protein language models.
Journal: Briefings in bioinformatics
Published: December 23, 2025
DeepTYLCV: An interpretable and experimentally validated AI model for predicting virulence of different tomato yellow leaf curl virus strains.
Journal: Plant communications
Published: November 24, 2025
GinDB-AI: An integrated ginsenoside database and AI-driven platform for multidimensional information and biological activity prediction.
Journal: Journal of ginseng research
Published: November 14, 2025
TP-ML: A Machine-Learning-Based Tool to Identify Threonine Proteases Using Sequence-Derived Optimal Features.
Journal: IEEE transactions on computational biology and bioinformatics
Published: August 14, 2025
Mulaqua: An interpretable multimodal deep learning framework for identifying PMT/vPvM substances in drinking water.
Journal: Journal of hazardous materials
Published: July 10, 2025
XMolCap: Advancing Molecular Captioning Through Multimodal Fusion and Explainable Graph Neural Networks.
Journal: IEEE journal of biomedical and health informatics
Published: May 23, 2025
xBitterT5: an explainable transformer-based framework with multimodal inputs for identifying bitter-taste peptides.
Journal: Journal of cheminformatics
Published: March 18, 2025
HyPepTox-Fuse: An interpretable hybrid framework for accurate peptide toxicity prediction fusing protein language model-based embeddings with conventional descriptors.
Journal: Journal of pharmaceutical analysis
Published: December 31, 2024
AntiT2DMP-Pred: Leveraging feature fusion and optimization for superior machine learning prediction of type 2 diabetes mellitus.
Journal: Methods (San Diego, Calif.)
Published: October 31, 2024
REMED-T2D: A robust ensemble learning model for early detection of type 2 diabetes using healthcare dataset.
Journal: Computers in biology and medicine
Published: October 30, 2024
Last Updated: 09/26/2026