Ying, F.; Go, W.; Li, Z.; Ouyang, C.; Phaphuangwittayakul, A.; Dhuny, R.
Computational Design of Potentially Multifunctional Antimicrobial Peptide Candidates via a Hybrid Generative Model. Int. J. Mol. Sci. 2025, 26, 7387.
https://doi.org/10.3390/ijms26157387
AMA Style
Ying F, Go W, Li Z, Ouyang C, Phaphuangwittayakul A, Dhuny R.
Computational Design of Potentially Multifunctional Antimicrobial Peptide Candidates via a Hybrid Generative Model. International Journal of Molecular Sciences. 2025; 26(15):7387.
https://doi.org/10.3390/ijms26157387
Chicago/Turabian Style
Ying, Fangli, Wilten Go, Zilong Li, Chaoqian Ouyang, Aniwat Phaphuangwittayakul, and Riyad Dhuny.
2025. "Computational Design of Potentially Multifunctional Antimicrobial Peptide Candidates via a Hybrid Generative Model" International Journal of Molecular Sciences 26, no. 15: 7387.
https://doi.org/10.3390/ijms26157387
APA Style
Ying, F., Go, W., Li, Z., Ouyang, C., Phaphuangwittayakul, A., & Dhuny, R.
(2025). Computational Design of Potentially Multifunctional Antimicrobial Peptide Candidates via a Hybrid Generative Model. International Journal of Molecular Sciences, 26(15), 7387.
https://doi.org/10.3390/ijms26157387