APA (7th ed.) Citation

Rudrapal, M., Kirboga, K. K., Abdalla, M., & Maji, S. (2024). Explainable artificial intelligence-assisted virtual screening and bioinformatics approaches for effective bioactivity prediction of phenolic cyclooxygenase-2 (COX-2) inhibitors using PubChem molecular fingerprints. Molecular Diversity, 28(4), 2099-2118. https://doi.org/10.1007/s11030-023-10782-9

Chicago Style (17th ed.) Citation

Rudrapal, Mithun, Kevser Kübra Kirboga, Mohnad Abdalla, and Siddhartha Maji. "Explainable Artificial Intelligence-assisted Virtual Screening and Bioinformatics Approaches for Effective Bioactivity Prediction of Phenolic Cyclooxygenase-2 (COX-2) Inhibitors Using PubChem Molecular Fingerprints." Molecular Diversity 28, no. 4 (2024): 2099-2118. https://doi.org/10.1007/s11030-023-10782-9.

MLA (9th ed.) Citation

Rudrapal, Mithun, et al. "Explainable Artificial Intelligence-assisted Virtual Screening and Bioinformatics Approaches for Effective Bioactivity Prediction of Phenolic Cyclooxygenase-2 (COX-2) Inhibitors Using PubChem Molecular Fingerprints." Molecular Diversity, vol. 28, no. 4, 2024, pp. 2099-2118, https://doi.org/10.1007/s11030-023-10782-9.