Discovery of potent CSK inhibitors through integrated virtual screening and molecular dynamic simulation.
Roufen ChenYuchen WangZheyuan ShenChenyi YeYu GuoYan LuJianjun DingXiao-Wu DongDonghang XuXiaoli ZhengPublished in: Archiv der Pharmazie (2024)
Oncogenic overexpression or activation of C-terminal Src kinase (CSK) has been shown to play an important role in triple-negative breast cancer (TNBC) progression, including tumor initiation, growth, metastasis, drug resistance. This revelation has pivoted the focus toward CSK as a potential target for novel treatments. However, until now, there are few inhibitors designed to target the CSK protein. Responding to this, our research has implemented a comprehensive virtual screening protocol. By integrating energy-based screening methods with AI-driven scoring functions, such as Attentive FP, and employing rigorous rescoring methods like Glide docking and molecular mechanics generalized Born surface area (MM/GBSA), we have systematically sought out inhibitors of CSK. This approach led to the discovery of a compound with a potent CSK inhibitory activity, reflected by an IC 50 value of 1.6 nM under a homogeneous time-resolved fluorescence (HTRF) bioassay. Subsequently, molecule 2 exhibits strong growth inhibition of MD anderson - metastatic breast (MDA-MB) -231, Hs578T, and SUM159 cells, showing a level of growth inhibition comparable to that observed with dasatinib. Treatment with molecule 2 also induced significant G1 phase accumulation and cell apoptosis. Furthermore, we have explored the explicit binding interactions of the compound with CSK using molecular dynamics simulations, providing valuable insights into its mechanism of action.
Keyphrases
- molecular dynamics simulations
- small molecule
- cell proliferation
- molecular dynamics
- squamous cell carcinoma
- randomized controlled trial
- small cell lung cancer
- transcription factor
- single molecule
- high throughput
- protein protein
- tyrosine kinase
- induced apoptosis
- photodynamic therapy
- anti inflammatory
- artificial intelligence
- risk assessment
- single cell
- diabetic rats
- combination therapy
- machine learning
- drug induced
- climate change
- protein kinase
- smoking cessation
- light emitting