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Vinoth Kumar Sangaraju

Showing results (1-10 of 7) with videos related to

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Computers in Biology and Medicine|October 23, 2024
mHPpred: Accurate identification of peptide hormones using multi-view feature learningShaherin Basith, Vinoth Kumar Sangaraju, Balachandran Manavalan, et al.
Computers in Biology and Medicine|February 27, 2023
Computational prediction of protein folding rate using structural parameters and network centrality measuresSaraswathy Nithiyanandam, Vinoth Kumar Sangaraju, Balachandran Manavalan, et al.
Journal of Molecular Biology|September 5, 2024
mACPpred 2.0: Stacked Deep Learning for Anticancer Peptide Prediction with Integrated Spatial and Probabilistic Feature RepresentationsVinoth Kumar Sangaraju, Nhat Truong Pham, Leyi Wei, et al.
Plant Communications|May 1, 2026
DeepTYLCV: An interpretable and experimentally validated AI model for predicting virulence of different tomato yellow leaf curl virus strainsNattanong Bupi, Hariharan Sangaraju, Duong Thanh Tran, et al.
Journal of Ginseng Research|May 11, 2026
GinDB-AI: An integrated ginsenoside database and AI-driven platform for multidimensional information and biological activity predictionNguyen Doan Hieu Nguyen, Vinoth Kumar Sangaraju, Duong Thanh Tran, et al.
Journal of Ginseng Research|July 3, 2026
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]Nguyen Doan Hieu Nguyen, Vinoth Kumar Sangaraju, Duong Thanh Tran, et al.
Research (Washington, D.C.)|March 17, 2023
An Effective Integrated Machine Learning Framework for Identifying Severity of Tomato Yellow Leaf Curl Virus and Their Experimental ValidationNattanong Bupi, Vinoth Kumar Sangaraju, Le Thi Phan, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Computers in Biology and Medicine|October 23, 2024
mHPpred: Accurate identification of peptide hormones using multi-view feature learningShaherin Basith, Vinoth Kumar Sangaraju, Balachandran Manavalan, et al.
Computers in Biology and Medicine|February 27, 2023
Computational prediction of protein folding rate using structural parameters and network centrality measuresSaraswathy Nithiyanandam, Vinoth Kumar Sangaraju, Balachandran Manavalan, et al.
Journal of Molecular Biology|September 5, 2024
mACPpred 2.0: Stacked Deep Learning for Anticancer Peptide Prediction with Integrated Spatial and Probabilistic Feature RepresentationsVinoth Kumar Sangaraju, Nhat Truong Pham, Leyi Wei, et al.
Plant Communications|May 1, 2026
DeepTYLCV: An interpretable and experimentally validated AI model for predicting virulence of different tomato yellow leaf curl virus strainsNattanong Bupi, Hariharan Sangaraju, Duong Thanh Tran, et al.
Journal of Ginseng Research|May 11, 2026
GinDB-AI: An integrated ginsenoside database and AI-driven platform for multidimensional information and biological activity predictionNguyen Doan Hieu Nguyen, Vinoth Kumar Sangaraju, Duong Thanh Tran, et al.
Journal of Ginseng Research|July 3, 2026
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]Nguyen Doan Hieu Nguyen, Vinoth Kumar Sangaraju, Duong Thanh Tran, et al.
Research (Washington, D.C.)|March 17, 2023
An Effective Integrated Machine Learning Framework for Identifying Severity of Tomato Yellow Leaf Curl Virus and Their Experimental ValidationNattanong Bupi, Vinoth Kumar Sangaraju, Le Thi Phan, et al.
Pageof 1