| Title | Author | Year | SCOPUS | PUBMED | ISI | TCI | |
|---|---|---|---|---|---|---|---|
| 1. | Role of L-type amino acid transporter 1 (LAT1) for the selective cytotoxicity of sesamol in human melanoma cells | Weerapreeyakul, N. | 2019 | ||||
| 2. | Validation of cell-based assay for quantification of sesamol uptake and its application for measuring target exposure | Weerapreeyakul, N. | 2019 | ||||
| 3. | Evaluation of melanoma (SK-MEL-2) cell growth between three-dimensional (3D) and two-dimensional (2D) cell cultures with fourier transform infrared (FTIR) microspectroscopy | Weerapreeyakul, N. Thumanu, K. |
2020 | ||||
| 4. | Development of Sesamol Carbamate-L-Phenylalanine Prodrug Targeting L-Type Amino Acid Transporter1 (LAT1) as a Potential Antiproliferative Agent against Melanoma | Srisongkram, T. Weerapreeyakul, N. |
2022 | ||||
| 5. | Effect of Germination and Illumination on Melatonin and Its Metabolites, Phenolic Content, and Antioxidant Activity in Mung Bean Sprouts | Siriparu, P. Panyatip, P. Pota, T. Ratha, J. Yongram, C. Srisongkram, T. Sungthong, B. |
2022 | ||||
| 6. | Improvement in the binding specificity of anti-isomiroestrol antibodies by expression as fragments under oxidizing conditions inside the SHuffle T7 E. coli cytoplasm | Juengsanguanpornsuk, W. Kitisripanya, T. Boonsnongcheep, P. Yusakul, G. Srisongkram, T. Sakamoto, S. Putalun, W. |
2022 | ||||
| 7. | Machine Learning and In Vitro Chemical Screening of Potential α-Amylase and α-Glucosidase Inhibitors from Thai Indigenous Plants | Srisongkram, T. Thitimetharoch, T. Weerapreeyakul, N. |
2022 | ||||
| 8. | Route of intracellular uptake and cytotoxicity of sesamol, sesamin, and sesamolin in human melanoma SK-MEL-2 cells | Srisongkram, T. Weerapreeyakul, N. |
2022 | ||||
| 9. | Bioactive Compounds, Antioxidant Activities, and HPLC Analysis of Nine Edible Sprouts in Cambodia | So, V. Poul, P. Oeung, S. Srey, P. Mao, K. Ung, H. Eng, P. Heim, M. Srun, M. Chheng, C. Chea, S. |
2023 | ||||
| 10. | Drug Repurposing against KRAS Mutant G12C: A Machine Learning, Molecular Docking, and Molecular Dynamics Study | Srisongkram, T. Weerapreeyakul, N. |
2023 | ||||
| 11. | Ensemble Quantitative Read-Across Structure-Activity Relationship Algorithm for Predicting Skin Cytotoxicity | Srisongkram, T. | 2023 | ||||
| 12. | Polyphenol and Tryptophan Contents of Purple Corn (Zea mays L.) Variety KND and Butterfly Pea (Clitoria ternatea) Aqueous Extracts: Insights into Phytochemical Profiles with Antioxidant Activities and PCA Analysis | Ratha, J. Yongram, C. Panyatip, P. Powijitkul, P. Siriparu, P. Datham, S. Priprem, A. Srisongkram, T. |
2023 | ||||
| 13. | Prediction of KRASG12C inhibitors using conjoint fingerprint and machine learning-based QSAR models | Srisongkram, T. Khamtang, P. Weerapreeyakul, N. |
2023 | ||||
| 14. | Prediction of Spheroid Cell Death Using Fluorescence Staining and Convolutional Neural Networks | Srisongkram, T. Syahid, N.F. Piyasawetkul, T. Thirawatthanasak, P. Khamtang, P. Sawasnopparat, N. Tookkane, D. Weerapreeyakul, N. Puthongking, P. |
2023 | ||||
| 15. | DeepRA: A novel deep learning-read-across framework and its application in non-sugar sweeteners mutagenicity prediction | Srisongkram, T. | 2024 | ||||
| 16. | Insights into the structure-activity relationship of pyrimidine-sulfonamide analogues for targeting BRAF V600E protein | Srisongkram, T. Tookkane, D. |
2024 | ||||
| 17. | Comparative Analysis of Recurrent Neural Networks with Conjoint Fingerprints for Skin Corrosion Prediction | Duy, H.A. Srisongkram, T. |
2025 | ||||
| 18. | Protecting your skin: a highly accurate LSTM network integrating conjoint features for predicting chemical-induced skin irritation | Duy, H.A. Srisongkram, T. |
2025 | ||||
| 19. | Stacking Ensemble Neural Network for Chemical Safety Assessment: A Case Study of Thyroid Peroxidase and Natural Product Screening | Zetta, D.N. Srisongkram, T. |
2025 | ||||
| 20. | ToxSTK: A multi-target toxicity assessment utilizing molecular structure and stacking ensemble learning | Boonsom, S. Chamnansil, P. Boonseng, S. Srisongkram, T. |
2025 | Count | 20 | 0 | 0 | 0 |
| Title | Authors | Year | Publication name | Cited count | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| < 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | Total | ||||||
| 1. | Role of L-type amino acid transporter 1 (LAT1) for the selective cytotoxicity of sesamol in human melanoma cells | Weerapreeyakul, N. | 2019 |
Molecules 21 (24), pp. |
||||||||
| 2. | Validation of cell-based assay for quantification of sesamol uptake and its application for measuring target exposure | Weerapreeyakul, N. | 2019 |
Molecules 19 (24), pp. |
||||||||
| 3. | Evaluation of melanoma (SK-MEL-2) cell growth between three-dimensional (3D) and two-dimensional (2D) cell cultures with fourier transform infrared (FTIR) microspectroscopy | Weerapreeyakul, N. Thumanu, K. |
2020 |
International Journal of Molecular Sciences 11 (21), pp. 1-26 |
||||||||
| 4. | Development of Sesamol Carbamate-L-Phenylalanine Prodrug Targeting L-Type Amino Acid Transporter1 (LAT1) as a Potential Antiproliferative Agent against Melanoma | Srisongkram, T. Weerapreeyakul, N. |
2022 |
International Journal of Molecular Sciences 15 (23), pp. |
||||||||
| 5. | Effect of Germination and Illumination on Melatonin and Its Metabolites, Phenolic Content, and Antioxidant Activity in Mung Bean Sprouts | Siriparu, P. Panyatip, P. Pota, T. Ratha, J. Yongram, C. Srisongkram, T. Sungthong, B. |
2022 |
Plants 21 (11), pp. |
||||||||
| 6. | Improvement in the binding specificity of anti-isomiroestrol antibodies by expression as fragments under oxidizing conditions inside the SHuffle T7 E. coli cytoplasm | Juengsanguanpornsuk, W. Kitisripanya, T. Boonsnongcheep, P. Yusakul, G. Srisongkram, T. Sakamoto, S. Putalun, W. |
2022 |
Bioscience, biotechnology, and biochemistry 10 (86), pp. 1368-1377 |
||||||||
| 7. | Machine Learning and In Vitro Chemical Screening of Potential α-Amylase and α-Glucosidase Inhibitors from Thai Indigenous Plants | Srisongkram, T. Thitimetharoch, T. Weerapreeyakul, N. |
2022 |
Nutrients 2 (14), pp. |
||||||||
| 8. | Route of intracellular uptake and cytotoxicity of sesamol, sesamin, and sesamolin in human melanoma SK-MEL-2 cells | Srisongkram, T. Weerapreeyakul, N. |
2022 |
Biomedicine and Pharmacotherapy (146), pp. |
||||||||
| 9. | Bioactive Compounds, Antioxidant Activities, and HPLC Analysis of Nine Edible Sprouts in Cambodia | So, V. Poul, P. Oeung, S. Srey, P. Mao, K. Ung, H. Eng, P. Heim, M. Srun, M. Chheng, C. Chea, S. |
2023 |
Molecules 6 (28), pp. |
||||||||
| 10. | Drug Repurposing against KRAS Mutant G12C: A Machine Learning, Molecular Docking, and Molecular Dynamics Study | Srisongkram, T. Weerapreeyakul, N. |
2023 |
International Journal of Molecular Sciences 1 (24), pp. |
||||||||
| 11. | Ensemble Quantitative Read-Across Structure-Activity Relationship Algorithm for Predicting Skin Cytotoxicity | Srisongkram, T. | 2023 |
Chemical Research in Toxicology (), pp. |
||||||||
| 12. | Polyphenol and Tryptophan Contents of Purple Corn (Zea mays L.) Variety KND and Butterfly Pea (Clitoria ternatea) Aqueous Extracts: Insights into Phytochemical Profiles with Antioxidant Activities and PCA Analysis | Ratha, J. Yongram, C. Panyatip, P. Powijitkul, P. Siriparu, P. Datham, S. Priprem, A. Srisongkram, T. |
2023 |
Plants 3 (12), pp. |
||||||||
| 13. | Prediction of KRAS<sup>G12C</sup> inhibitors using conjoint fingerprint and machine learning-based QSAR models | Srisongkram, T. Khamtang, P. Weerapreeyakul, N. |
2023 |
Journal of Molecular Graphics and Modelling (122), pp. |
||||||||
| 14. | Prediction of Spheroid Cell Death Using Fluorescence Staining and Convolutional Neural Networks | Srisongkram, T. Syahid, N.F. Piyasawetkul, T. Thirawatthanasak, P. Khamtang, P. Sawasnopparat, N. Tookkane, D. Weerapreeyakul, N. Puthongking, P. |
2023 |
Chemical Research in Toxicology (), pp. |
||||||||
| 15. | DeepRA: A novel deep learning-read-across framework and its application in non-sugar sweeteners mutagenicity prediction | Srisongkram, T. | 2024 |
Computers in Biology and Medicine (178), pp. |
||||||||
| 16. | Insights into the structure-activity relationship of pyrimidine-sulfonamide analogues for targeting BRAF V600E protein | Srisongkram, T. Tookkane, D. |
2024 |
Biophysical Chemistry (307), pp. |
||||||||
| 17. | Comparative Analysis of Recurrent Neural Networks with Conjoint Fingerprints for Skin Corrosion Prediction | Duy, H.A. Srisongkram, T. |
2025 |
Journal of Chemical Information and Modeling 3 (65), pp. 1305-1317 |
||||||||
| 18. | Protecting your skin: a highly accurate LSTM network integrating conjoint features for predicting chemical-induced skin irritation | Duy, H.A. Srisongkram, T. |
2025 |
Journal of Cheminformatics 1 (17), pp. |
||||||||
| 19. | Stacking Ensemble Neural Network for Chemical Safety Assessment: A Case Study of Thyroid Peroxidase and Natural Product Screening | Zetta, D.N. Srisongkram, T. |
2025 |
ACS Omega (), pp. |
||||||||
| 20. | ToxSTK: A multi-target toxicity assessment utilizing molecular structure and stacking ensemble learning | Boonsom, S. Chamnansil, P. Boonseng, S. Srisongkram, T. |
2025 |
Computers in Biology and Medicine (185), pp. |
||||||||
| Title | Authors | Year | Journal title |
|---|
| Title | Authors | Year | Journal title | Cited count | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| < 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | Total | ||||||
| Title | Authors | Year | Journal title |
|---|
| Title | Authors | NRIIS type | Year | NRIIS Scholarship |
|---|