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Briefings in Bioinformatics
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June 12, 2026
CONTRA-IL6: an interpretable hybrid convolutional neural network and Transformer framework for accurate prediction of interleukin-6-inducing peptides using protein language models
Duong Thanh Tran, Nhat Truong Pham, Gwang Lee, et al.
Archives of Pharmacal Research
|
September 4, 2012
Roles of toll-like receptors in cancer: a double-edged sword for defense and offense
Shaherin Basith, Balachandran Manavalan, Tae Hyeon Yoo, et al.
Computers in Biology and Medicine
|
March 29, 2023
PSRQSP: An effective approach for the interpretable prediction of quorum sensing peptide using propensity score representation learning
Phasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, et al.
Journal of Molecular Biology
|
November 7, 2024
MST-m6A: A Novel Multi-Scale Transformer-based Framework for Accurate Prediction of m6A Modification Sites Across Diverse Cellular Contexts
Qiaosen Su, Le Thi Phan, Nhat Truong Pham, 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 Representations
Vinoth Kumar Sangaraju, Nhat Truong Pham, Leyi Wei, et al.
Bioinformatics (Oxford, England)
|
March 8, 2020
HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation
Md Mehedi Hasan, Nalini Schaduangrat, Shaherin Basith, et al.
Journal of Hazardous Materials
|
November 26, 2025
Mulaqua: An interpretable multimodal deep learning framework for identifying PMT/vPvM substances in drinking water
Nguyen Doan Hieu Nguyen, Nhat Truong Pham, Hojin Seo, et al.
Computers in Biology and Medicine
|
December 25, 2023
Stack-DHUpred: Advancing the accuracy of dihydrouridine modification sites detection via stacking approach
Md Harun-Or-Roshid, Kazuhiro Maeda, Le Thi Phan, et al.
Computers in Biology and Medicine
|
June 11, 2022
SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins
Phasit Charoenkwan, Nalini Schaduangrat, Mohammad Ali Moni, et al.
Iscience
|
September 1, 2022
Computational prediction and interpretation of druggable proteins using a stacked ensemble-learning framework
Phasit Charoenkwan, Nalini Schaduangrat, Pietro Lio', et al.
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Showing results (61-70 of 124) with videos related to
Sort By:
Page
of 13
Briefings in Bioinformatics
|
June 12, 2026
CONTRA-IL6: an interpretable hybrid convolutional neural network and Transformer framework for accurate prediction of interleukin-6-inducing peptides using protein language models
Duong Thanh Tran, Nhat Truong Pham, Gwang Lee, et al.
Archives of Pharmacal Research
|
September 4, 2012
Roles of toll-like receptors in cancer: a double-edged sword for defense and offense
Shaherin Basith, Balachandran Manavalan, Tae Hyeon Yoo, et al.
Computers in Biology and Medicine
|
March 29, 2023
PSRQSP: An effective approach for the interpretable prediction of quorum sensing peptide using propensity score representation learning
Phasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, et al.
Journal of Molecular Biology
|
November 7, 2024
MST-m6A: A Novel Multi-Scale Transformer-based Framework for Accurate Prediction of m6A Modification Sites Across Diverse Cellular Contexts
Qiaosen Su, Le Thi Phan, Nhat Truong Pham, 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 Representations
Vinoth Kumar Sangaraju, Nhat Truong Pham, Leyi Wei, et al.
Bioinformatics (Oxford, England)
|
March 8, 2020
HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation
Md Mehedi Hasan, Nalini Schaduangrat, Shaherin Basith, et al.
Journal of Hazardous Materials
|
November 26, 2025
Mulaqua: An interpretable multimodal deep learning framework for identifying PMT/vPvM substances in drinking water
Nguyen Doan Hieu Nguyen, Nhat Truong Pham, Hojin Seo, et al.
Computers in Biology and Medicine
|
December 25, 2023
Stack-DHUpred: Advancing the accuracy of dihydrouridine modification sites detection via stacking approach
Md Harun-Or-Roshid, Kazuhiro Maeda, Le Thi Phan, et al.
Computers in Biology and Medicine
|
June 11, 2022
SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins
Phasit Charoenkwan, Nalini Schaduangrat, Mohammad Ali Moni, et al.
Iscience
|
September 1, 2022
Computational prediction and interpretation of druggable proteins using a stacked ensemble-learning framework
Phasit Charoenkwan, Nalini Schaduangrat, Pietro Lio', et al.
Page
of 13