APA (7th ed.) Citation

Baidya, S., Banerjee, S., Ghosh, B., Jha, T., & Adhikari, N. (2023). Assessing structural insights into in-house arylsulfonyl L-(+) glutamine MMP-2 inhibitors as promising anticancer agents through structure-based computational modelling approaches. SAR and QSAR in environmental research, 34(10), 805-830. https://doi.org/10.1080/1062936X.2023.2261842

Chicago Style (17th ed.) Citation

Baidya, S.K, S. Banerjee, B. Ghosh, T. Jha, and N. Adhikari. "Assessing Structural Insights into In-house Arylsulfonyl L-(+) Glutamine MMP-2 Inhibitors as Promising Anticancer Agents Through Structure-based Computational Modelling Approaches." SAR and QSAR in Environmental Research 34, no. 10 (2023): 805-830. https://doi.org/10.1080/1062936X.2023.2261842.

MLA (9th ed.) Citation

Baidya, S.K, et al. "Assessing Structural Insights into In-house Arylsulfonyl L-(+) Glutamine MMP-2 Inhibitors as Promising Anticancer Agents Through Structure-based Computational Modelling Approaches." SAR and QSAR in Environmental Research, vol. 34, no. 10, 2023, pp. 805-830, https://doi.org/10.1080/1062936X.2023.2261842.