Research & review articles (first & co-first author)
11. Trinh XT, Freitag R, Krawczyk K, Schwämmle V. (2024) Data mining antibody sequences for database searching in bottom-up proteomics. ImmunoInformatics. 15(2024): 100042. https://doi.org/10.1016/j.immuno.2024.100042.
10. Xiao X, Trinh XT, Gerelkhuu Z, Ha E, Yoon TH. (2024) Automated Machine Learning in Nanotoxicity Assessment: A Comparative Study of Predictive Model Performance. Computational and Structural Biotechnology Journal. 25(2024):9-19. https://doi.org/10.1016/j.csbj.2024.02.003.
9. Trinh XT, Pham NC, Long NV, Le TVA, Nguyen NG, Nam SY, Myung Y. (2023) Development of predictive models for lymphedema by using blood tests and therapy data. Scientific Report. 13(2023): 19720. https://doi.org/10.1038/s41598-023-46567-1.
8. Trinh XT, Long NV, Le TVA, Pham TN, Nguyen NG, Pham NC, Nam SY, Heo CY. (2022) A Comprehensive Review of Natural Compounds for Wound Healing: Targeting Bioactivity Perspective. International Journal of Molecular Sciences. 23(17): 9573. https://doi.org/10.3390/ijms23179573. [Review]
7. Trinh XT, Seo M, Yoon TH, and Kim J. (2022) Developing random forest based QSAR models for predicting the mixture toxicity of TiO2 based nano-mixtures to Daphnia magna. NanoImpact. 25: 100383. https://doi.org/10.1016/j.impact.2022.100383.
6. Giang NN, Trinh XT, Han J, Pham NC, Lee J, Noh SR, Shin Y, Nam SY, Heo CY. (2022) Effective decellularization of human skin tissue for regenerative medicine by supercritical carbon dioxide technique. Journal of Tissue Engineering and Regenerative Medicine. 2022: 1-12. https://doi.org/10.1002/term.3359.
5. Zhang XR, Pham NC, Trinh XT, Nam SY, Heo CY. (2022) Comparison of Formation of Capsule Among Different Breast Silicone Implants. In vivo. 36(6): 2756-2766. https://doi.org/10.21873/invivo.13012.
4. Trinh XT and Kim J. (2021) Status quo in data availability and predictive models of nano-mixture toxicity. Nanomaterials. 11(1): 124. https://doi.org/10.3390/nano11010124. [Review]
3. Trinh XT, Kwon SJ, Gerelkhuu Z, Choi JS, Song J and Yoon TH. (2020) Identification of Ca-rich dense granules in human platelets using scanning transmission X-ray microscopy. Journal of Synchrotron Radiation. 27(3): 720-724. https://doi.org/10.1107/S1600577520002702.
2. Trinh XT, Choi JS, Jeon H, Byun HG, Yoon TH, and Kim J. (2018) Quasi-SMILES-Based Nano-Quantitative Structure-Activity Relationship Model to Predict the Cytotoxicity of Multiwalled Carbon Nanotubes to Human Lung Cells. Chemical Research in Toxicology. 31(3): 183-190. https://doi.org/10.1021/acs.chemrestox.7b00303.
1. Trinh XT, Ha KM, Choi JS, Byun HG, and Yoon TH. (2018) Dataset Curation, Assessment of their Quality and Completeness and nanoSAR Classification Model Development for Metallic Nanoparticles. Environmental Science: Nano. 5(8): 1902-1910. https://doi.org/10.1039/C8EN00061A.
Research articles (co-author)
10. Le LTT, Pham NC, Trinh XT, Nguyen NG, Long NV, Nam SY, Heo CY. (2024) Supercritical carbon dioxide decellularization of porcine nerve matrix for regenerative medicine. Tissue Engineering Part A. March 2024. https://doi.org/10.1089/ten.TEA.2023.0228.
9. Ryu U, Pham NC, Jang S, Trinh XT, Lee HS, Le TVA, Zhang XR, Nguyen NG, Long NV, Nam SY, Heo CY, Choi KM. (2023) Zirconium‐Based Metal‐Organic Framework Capable of Binding Proinflammatory Mediators in Hydrogel Form Promotes Wound Healing Process through a Multiscale Adsorption Mechanism. Advanced Healthcare Materials. 2301679. https://doi.org/10.1002/adhm.202301679.
8. Le LTT, Nguyen NG, Pham NC, Trinh XT, Long NV, Le TVA, Nga PT, Zhang XR, Nam SY, Heo CY. (2023) Enhancement of Wound Healing Efficacy by Chitosan-based Hydrocolloid on Sprague Dawley Rats. In vivo. 37: 1052-1064. https://doi.org/10.21873/invivo.13180.
7. Long NV, Pham NC, Trinh XT, Nguyen NG, Nga PT, Nam SY, Heo CY. (2022) Complementary combination of biomarkers for diagnosis of sarcopenia in C57BL/6J mice. Life Sciences. 312: 121213. https://doi.org/10.1016/j.lfs.2022.121213.
6. Le TVA, Trinh XT, Pham NC, Nguyen NG, Zhang XR, Nam SY, Heo CY. (2022) Evaluation of the Performance of a ZnO-Nanoparticle-Coated Hydrocolloid Patch in Wound Healing. Polymers. 14(5): 919. https://doi.org/10.3390/polym14050919.
5. Shin JH, Park SH, Trinh XT, Kwon SJ, Bae JW, Lee H, Valsami-Jones, Wang J, Song J, and Yoon TH. (2021) Scanning Transmission X-ray Microscopy Study of Subcellular Granules in Human Platelets at the Carbon K- and Calcium L2,3-edges. Platelets. 33(4): 632-639. https://doi.org/10.1080/09537104.2021.1981846.
4. Choi JS, Trinh XT, Ha J, Yang MS, Lee Y, Kim YE, Choi J, Byun HG, Song J and Yoon TH. (2020) Implementation of Complementary Model using Optimal Combination of Hematological Parameters for Sepsis Screening in Patients with Fever. Scientific Reports. 10(1): 1-10. https://doi.org/10.1038/s41598-019-57107-1.
3. Choi JS, Trinh XT, Yoon TH, Kim J, and Byun HG. (2019) Quasi-QSAR for predicting the cell viability of human lung and skin cells exposed to different metal oxide nanomaterials. Chemosphere. 217: 243-249. https://doi.org/10.1016/j.chemosphere.2018.11.014.
2. Ha KM, Trinh XT, Choi JS, Maulina D, Byun HG, and Yoon TH. (2018) Toxicity Classification of Oxide Nanomaterials: Effects of Data Gap Filling and PChem Score-based Screening Approaches. Scientific Reports. 8(2018): 3141. https://doi.org/10.1038/s41598-018-21431-9.
1. Choi JS, Ha KM, Trinh XT, Yoon TH, and Byun HG. (2018) Towards a generalized toxicity prediction model for oxide nanomaterials using integrated data from different sources. Scientific Reports. 8(2018): 6110. https://doi.org/10.1038/s41598-018-24483-z.
Patents
3. Yoon TH, Ha KM, Trinh XT, Kim JB. “Method for generating toxicity prediction model of oxide nano-material using Random Forest algorithm”. Republic of Korea, Patent No. 10-1979983. Publication date: 2019/05/13.
2. Yoon TH, Trinh XT, Ha KM, Kim JB. “Method for generating toxicity prediction model of metal nano-material using Support Vector Machine algorithm”. Republic of Korea, Patent No. 10-1978543. Publication date: 2019/05/08.
1. Yoon TH, Ha KM, Trinh XT. “PChem score based data preprocessing method for the quality improvement of nanosafety database”. Republic of Korea, Patent No. 10-1978542. Publication date: 2019/05/08.