Browsing by AJOU Author : 신태환

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Showing results 1 to 14 of 14

Pub YearTitleAuthor(s)
2019A Molecular Dynamics Approach to Explore the Intramolecular Signal Transduction of PPAR-alphaBalachandran, Manavalan, Basith, Shaherin, 신태환, 이광
2019AtbPpred: A Robust Sequence-Based Prediction of Anti-Tubercular Peptides Using Extremely Randomized TreesBalachandran, Manavalan, Basith, Shaherin, 신태환, 이광
2018Biomarker Composition for Diagnosing Nanoparticles Neurotoxicity by Increasing Cytoplasmic Inclusion Bodies in vitro백만정, 신태환, 이광
2019Biomarkers composition for detecting damage of cell and uses thereof백만정, 신태환, 이광
2018iGHBP: Computational identification of growth hormone binding proteins from sequences using extremely randomised treeBalachandran, Manavalan, Basith, Shaherin, 신태환, 이광
2018Machine-Learning-Based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency with Improved AccuracyBalachandran, Manavalan, 신태환, 이광
2019mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representationBalachandran, Manavalan, Basith, Shaherin, 신태환, 이광
2019Meta-4mCpred: A Sequence-Based Meta-Predictor for Accurate DNA 4mC Site Prediction Using Effective Feature RepresentationBalachandran, Manavalan, Basith, Shaherin, 신태환, 이광
2019Metabolomic approaches to polyamines including acetylated derivatives in lung tissue of mice with asthma신태환, 이광
-Method for evaluating damage of cell using membrane fluidity신태환, 이광
-Microfluidic device for cell damage measurement and its application for cell damage analysis신태환, 이광
2015Neuropilin specific tumor penetrating peptide and fusion protein fused with the same신태환
2019SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice GenomeBalachandran, Manavalan, Basith, Shaherin, 신태환, 이광
2019Silica-coated magnetic nanoparticles induce glucose metabolic dysfunction in vitro via the generation of reactive oxygen speciesBalachandran, Manavalan, Basith, Shaherin, 박찬배, 신태환, 이광
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