Comparison in silico analysis provides structural insights into the binding behavior of clinical CDK4/6 inhibitors and may contribute to future optimization and development of CDK-targeted therapies.
Abstract
Cyclin-dependent kinases 4 and 6 (CDK4/6) are critical regulators of the G1–S phase transition of the cell cycle and represent major therapeutic targets in hormone receptor-positive breast cancer. Although several CDK4/6 inhibitors have been approved for clinical use, their comparative binding characteristics at the molecular level remain insufficiently understood. In this study, a structure-based molecular docking approach was employed to evaluate the binding affinities and interaction profiles of clinically approved and clinical-stage CDK4/6 inhibitors toward CDK6. The crystal structure of CDK6 in complex with palbociclib (PDB ID: 5L2I) was retrieved from the Protein Data Bank, and the docking protocol was validated by redocking the co-crystallized ligand. Molecular docking analyses of ribociclib, abemaciclib, trilaciclib, alvocidib, and dalpiciclib were carried out using AutoDock. The redocking procedure successfully reproduced the experimental binding mode with an RMSD value of 1.0 Å, confirming the reliability of the docking protocol. Among the investigated ligands, dalpiciclib exhibited the lowest binding energy (−11.68 kcal/mol), followed by trilaciclib (−11.09 kcal/mol), both showing stronger predicted binding affinity than the reference ligand palbociclib (−10.91 kcal/mol). Abemaciclib demonstrated comparable binding affinity, whereas ribociclib and alvocidib displayed relatively weaker binding energies. These findings indicate that dalpiciclib and trilaciclib may form more stable complexes with CDK6 compared to other clinically used inhibitors. This comparative in silico analysis provides structural insights into the binding behavior of clinical CDK4/6 inhibitors and may contribute to future optimization and development of CDK-targeted therapies.
Findings establish coumarin-derived scaffolds as promising starting points for the development of next-generation CDK4-targeted therapeutics and provide a strong computational foundation for future experimental validation in NSCLC.
N. M. Arulmozhi, Thiyagarajan G· Applied Biochemistry and Bio...· 0 citations
Overall, MD1-MD5 demonstrated excellent binding, structural stability, and pharmacokinetic properties, making them strong candidates for future CDK2-targeted anticancer research.
Dharmesh A. Patel, Apurva Prajapati, Siddharth S. Patel et al.· Biotechnology and applied bi...· 0 citations
The workflow identified three preliminary alkaloid hits, with CID 101691758 showing the most favorable combined computational and cell-viability profile, however, the MTT assay does not establish direct CDK2 inhibition or kinase selectivity.
A. Do, Q. Pham, H. Phung et al.· Pharmaceuticals· 0 citations
The integrated computational approach identified ZINC000000867238 as a potent and stable CCR5 inhibitor candidate, warranting further in vitro and in vivo validation as a potential HIV-1 entry blocker.
A. Sathish Kumar, Estari Mamidala· Journal of Receptor and Sign...· 0 citations
In-depth understanding of CDK4/6 inhibitors and the continuous development of bifunctional agents and protein degraders provides key theoretical and technical support for the design of next-generation therapeutic strategies to address current clinical limitations.
Miao-Xia Pu, Wenbo Xu, Li Ding et al.· Anti-Cancer Agents in Medici...· 0 citations
It is elucidated that HY-18,623 achieves high-affinity binding through persistent hydrogen bonds with hinge residues Val96 (CDK4) and Val101 (CDK6) and Val101 (CDK6) as a promising lead candidate for further therapeutic development in oncology.
Yu-Xin Wang, Lin-Xia Fang, Quan-Fang Liu et al.· Molecular diversity· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.