APA (7th ed.) Citation

DF, N., K, A., R, H., AT, M., A, M., C, B., . . . G, S. (2024). Enabling late-stage drug diversification by high-throughput experimentation with geometric deep learning. Nature chemistry, 16(2), 239. https://doi.org/10.1038/s41557-023-01360-5

Chicago Style (17th ed.) Citation

DF, Nippa, et al. "Enabling Late-stage Drug Diversification by High-throughput Experimentation with Geometric Deep Learning." Nature Chemistry 16, no. 2 (2024): 239. https://doi.org/10.1038/s41557-023-01360-5.

MLA (9th ed.) Citation

DF, Nippa, et al. "Enabling Late-stage Drug Diversification by High-throughput Experimentation with Geometric Deep Learning." Nature Chemistry, vol. 16, no. 2, 2024, p. 239, https://doi.org/10.1038/s41557-023-01360-5.