Y, Y., Y, H., H, S., D, W., Z, L., W, Z., & Q, L. (2025). Integrating deep learning and molecular dynamics simulations for FXR antagonist discovery. Molecular diversity, 29(4), 3391. https://doi.org/10.1007/s11030-025-11145-2
Chicago Style (17th ed.) CitationY, Yang, Huang Y, Shen H, Wang D, Liu Z, Zhu W, and Liu Q. "Integrating Deep Learning and Molecular Dynamics Simulations for FXR Antagonist Discovery." Molecular Diversity 29, no. 4 (2025): 3391. https://doi.org/10.1007/s11030-025-11145-2.
MLA (9th ed.) CitationY, Yang, et al. "Integrating Deep Learning and Molecular Dynamics Simulations for FXR Antagonist Discovery." Molecular Diversity, vol. 29, no. 4, 2025, p. 3391, https://doi.org/10.1007/s11030-025-11145-2.
Warning: These citations may not always be 100% accurate.