APA (7th ed.) Citation

M, S., ZA, S., M, M., M, N., A, A., & Z, U. (2024). A deep learning-based theoretical protocol to identify potentially isoform-selective PI3Kα inhibitors. Molecular diversity, 28(4), 1907. https://doi.org/10.1007/s11030-023-10799-0

Chicago Style (17th ed.) Citation

M, Shafiq, Sherwani ZA, Mushtaq M, Nur-E-Alam M, Ahmad A, and Ul-Haq Z. "A Deep Learning-based Theoretical Protocol to Identify Potentially Isoform-selective PI3Kα Inhibitors." Molecular Diversity 28, no. 4 (2024): 1907. https://doi.org/10.1007/s11030-023-10799-0.

MLA (9th ed.) Citation

M, Shafiq, et al. "A Deep Learning-based Theoretical Protocol to Identify Potentially Isoform-selective PI3Kα Inhibitors." Molecular Diversity, vol. 28, no. 4, 2024, p. 1907, https://doi.org/10.1007/s11030-023-10799-0.