Identification of the potential compounds for inhibition CD44 target of human breast cancer stem cells by docking method
Nội dung chính của bài viết
Tóm tắt
In a recent cell-based assay, it has been demonstrated that the F-19848A compound inhibits the binding of hyaluronan to the CD44 receptor, which is a cell-surface glycoprotein and a receptor for hyaluronan, a major component of the tumor extracellular matrix. The interaction between CD44 and hyaluronan has been shown to promote breast cancer metastasis according to evidence. In this study, the PubChem database contains more than 112 million compounds. This data is inputted for virtual screening find out top hits by combining Lipinski’s rule and docking method. With 20 configurations obtained by docking method, the lowest binding affinity ΔEbind achieved in the best docking mode was chosen as a scoring function for picking out top ligands. For inhibition the CD44 target, the top-leads compounds with binding energy less than -9.0 kcal.mol-1 and F-19848A have selected. By docking method, the binding site and other quantities were determined such as the number of hydrogen bonds (HB), non-bond contacts (NBC) of top ligands with CD44 target. Besides, the results also showed that the non-bonded contacts dominate over hydrogen bonds in the interaction between top ligands with CD44 target.
Chi tiết bài viết

Bài báo này được cấp phép theo Creative Commons Attribution-NonCommercial 4.0 International License.
Tài liệu tham khảo
Berendsen, H. J., Postma, J. P., van Gunsteren, W. F., & Hermans, J. (1981). Interaction models for water in relation to protein hydration. In Intermolecular forces (pp. 331-342). Springer.
Bolton, E. E., Wang, Y., Thiessen, P. A., & Bryant, S. H. (2008). PubChem: integrated platform of small molecules and biological activities. Annu Rep Comput Chem, 4, 217-241.
Gökmen-Polar, Y., Nakshatri, H., & Badve, S. (2011). Biomarkers for breast cancer stem cells: the challenges ahead. Biomarkers in medicine, 5(5), 661-671.
Hortobagyi, G. N., de la Garza Salazar, J., Pritchard, K., Amadori, D., Haidinger, R., Hudis, C. A., . . . Namer, M. (2005). The global breast cancer burden: variations in epidemiology and survival. Clinical breast cancer, 6(5), 391-401.
Lipinski, C. A., Lombardo, F., Dominy, B. W., & Feeney, P. J. (2012). Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. Adv. Drug Deliv. Rev., 64, 4-17.
Liu, L.-K., & Finzel, B. C. (2014). Fragment-based identification of an inducible binding site on cell surface receptor CD44 for the design of protein–carbohydrate interaction inhibitors. Journal of medicinal chemistry, 57(6), 2714-2725.
Naor, D., Nedvetzki, S., Golan, I., Melnik, L., & Faitelson, Y. (2002). CD44 in cancer. Critical reviews in clinical laboratory sciences, 39(6), 527-579.
Sanner, M. F. (1999). Python: a programming language for software integration and development. J. Mol. Graph. Model., 17(1), 57-61.
Trott, O., & Olson, A. J. (2010). AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. J. Comput. Chem., 31(2), 455-461.
Các bài báo được đọc nhiều nhất của cùng tác giả
- Kieu Nhat Ha, Kieu Minh Nhan, Bui Van Thang, Le Thi Ngoc Tu, Nguyen Quoc Thai, In silico screening of SARS-CoV-2 RBD-targeting antibodies using HDOCK and PRODIGY , Tạp chí Khoa học Đại học Đồng Tháp: Tập 14 Số 02S (2025): Số Đặc biệt chuyên san Khoa học Tự nhiên