Search Results - Balachandran Manavalan

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  1. 1

    How well does a data-driven prediction method distinguish dihydrouridine from tRNA and mRNA? by Shaherin Basith, Balachandran Manavalan

    Published in Molecular Therapy: Nucleic Acids (2023-03-01)
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  2. 2

    Random forest-based protein model quality assessment (RFMQA) using structural features and potential energy terms. by Balachandran Manavalan, Juyong Lee, Jooyoung Lee

    Published in PLoS ONE (2014-01-01)
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  3. 3

    Mapping the Intramolecular Communications among Different Glutamate Dehydrogenase States Using Molecular Dynamics by Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin, Gwang Lee

    Published in Biomolecules (2021-05-01)
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  4. 4

    iGHBP: Computational identification of growth hormone binding proteins from sequences using extremely randomised tree by Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin, Gwang Lee

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  5. 5

    Molecular modeling-based evaluation of hTLR10 and identification of potential ligands in Toll-like receptor signaling. by Rajiv Gandhi Govindaraj, Balachandran Manavalan, Gwang Lee, Sangdun Choi

    Published in PLoS ONE (2010-01-01)
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  6. 6

    Meta-2OM: A multi-classifier meta-model for the accurate prediction of RNA 2'-O-methylation sites in human RNA. by Md Harun-Or-Roshid, Nhat Truong Pham, Balachandran Manavalan, Hiroyuki Kurata

    Published in PLoS ONE (2024-01-01)
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  7. 7

    AtbPpred: A Robust Sequence-Based Prediction of Anti-Tubercular Peptides Using Extremely Randomized Trees by Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, Leyi Wei, Gwang Lee

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  8. 8

    Meta-4mCpred: A Sequence-Based Meta-Predictor for Accurate DNA 4mC Site Prediction Using Effective Feature Representation by Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, Leyi Wei, Gwang Lee

    Published in Molecular Therapy: Nucleic Acids (2019-06-01)
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  9. 9

    ac4C-AFL: A high-precision identification of human mRNA N4-acetylcytidine sites based on adaptive feature representation learning by Nhat Truong Pham, Annie Terrina Terrance, Young-Jun Jeon, Rajan Rakkiyappan, Balachandran Manavalan

    Published in Molecular Therapy: Nucleic Acids (2024-06-01)
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  10. 10

    Computational prediction and interpretation of druggable proteins using a stacked ensemble-learning framework by Phasit Charoenkwan, Nalini Schaduangrat, Pietro Lio’, Mohammad Ali Moni, Watshara Shoombuatong, Balachandran Manavalan

    Published in iScience (2022-09-01)
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  11. 11

    4mCpred-EL: An Ensemble Learning Framework for Identification of DNA <i>N<sup>4</sup></i>-Methylcytosine Sites in the Mouse Genome by Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, Da Yeon Lee, Leyi Wei, Gwang Lee

    Published in Cells (2019-10-01)
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  12. 12

    HyPepTox-Fuse: An interpretable hybrid framework for accurate peptide toxicity prediction fusing protein language model-based embeddings with conventional descriptors by Duong Thanh Tran, Nhat Truong Pham, Nguyen Doan Hieu Nguyen, Leyi Wei, Balachandran Manavalan

    Published in Journal of Pharmaceutical Analysis (2025-08-01)
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  13. 13

    SCMTHP: A New Approach for Identifying and Characterizing of Tumor-Homing Peptides Using Estimated Propensity Scores of Amino Acids by Phasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, Mohammad Ali Moni, Pietro Lio’, Balachandran Manavalan, Watshara Shoombuatong

    Published in Pharmaceutics (2022-01-01)
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  14. 14

    xBitterT5: an explainable transformer-based framework with multimodal inputs for identifying bitter-taste peptides by Nguyen Doan Hieu Nguyen, Nhat Truong Pham, Duong Thanh Tran, Leyi Wei, Adeel Malik, Balachandran Manavalan

    Published in Journal of Cheminformatics (2025-08-01)
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  15. 15

    The Impact of Fine Particulate Matter 2.5 on the Cardiovascular System: A Review of the Invisible Killer by Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin, Chan Bae Park, Wang-Soo Lee, Jaetaek Kim, Gwang Lee

    Published in Nanomaterials (2022-08-01)
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  16. 16

    Bidirectional Transcriptome Analysis of Rat Bone Marrow-Derived Mesenchymal Stem Cells and Activated Microglia in an In Vitro Coculture System by Da Yeon Lee, Moon Suk Jin, Balachandran Manavalan, Hak Kyun Kim, Jun Hyeok Song, Tae Hwan Shin, Gwang Lee

    Published in Stem Cells International (2018-01-01)
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  17. 17

    Metabolome Changes in Cerebral Ischemia by Tae Hwan Shin, Da Yeon Lee, Shaherin Basith, Balachandran Manavalan, Man Jeong Paik, Igor Rybinnik, M. Maral Mouradian, Jung Hwan Ahn, Gwang Lee

    Published in Cells (2020-07-01)
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  18. 18

    An Effective Integrated Machine Learning Framework for Identifying Severity of Tomato Yellow Leaf Curl Virus and Their Experimental Validation by Nattanong Bupi, Vinoth Kumar Sangaraju, Le Thi Phan, Aamir Lal, Thuy Thi Bich Vo, Phuong Thi Ho, Muhammad Amir Qureshi, Marjia Tabassum, Sukchan Lee, Balachandran Manavalan

    Published in Research (2023-01-01)
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