ArticleBioinformatics and biology insights2024
Investigating Lasofoxifene Efficacy Against the Y537S + F404V Double-Mutant Estrogen Receptor Alpha Using Molecular Dynamics Simulations.
Article in Bioinformatics and biology insights, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Cracking ERα Y537S Resistance: Explainable Machine Learning-Guided Discovery and Molecular Dynamics Validation of Stable Candidate Ligands.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Discovery of ERα-Targeting Phytochemicals With In Vitro Cytotoxicity and Computational Prediction of Y537S Mutant Inhibition.Chemical biology & drug design · 2026Article
- In silico identification of peptidomimetic inhibitors targeting PXR and RXR interaction to overcome the inactivation of vitamin D in asthma.Molecular diversity · 2026Article
- The impact of PD-1 mutations on pembrolizumab binding: insights from molecular dynamics and MM-GBSA analysis.Scientific reports · 2026Article
- Unveiling Anti-Cancer Potential through ADMET Prediction, Molecular Docking, Molecular Dynamics, andCurrent topics in medicinal chemistry · 2026Article
- XAI-ACSM: An Ensemble-Based Explainable Artificial Intelligence Framework for the Accurate Prediction of Anticancer Small Molecules.ACS omega · 2025Article
- Designing novel cabozantinib analogues as p-glycoprotein inhibitors to target cancer cell resistance using molecular docking study, ADMET screening, bioisosteric approach, and molecular dynamics simulations.Frontiers in chemistry · 2025Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Estrogen receptor alpha (ERα) plays a critical role in breast cancer (BC) progression, with endocrine therapy being a key treatment for ERα + BC. However, resistance often arises due to somatic mutations in the ERα ligand-binding domain (LBD). Lasofoxifene, a third-generation selective estrogen receptor modulator, has shown promise against Y537S and D538G mutations. However, the emergence of a novel F404 mutation in patients with pre-existing LBD mutations raises concerns about its impact on lasofoxifene efficacy. This study investigates the impact of the dual Y537S and F404V mutations on lasofoxifene's efficacy. Using molecular dynamics simulations and molecular mechanics/Poisson-Boltzmann surface area (MM-PBSA) free energy calculations, we found that the dual mutation reduces lasofoxifene binding affinity and binding free energy, disrupts crucial protein-ligand interactions, and induces significant conformational changes in the ligand-binding pocket. These alterations are likely due to the loss of the pi-pi stacking interaction in the F404V mutation. These findings suggest a potential reduction in lasofoxifene efficacy due to the dual mutation. Further experimental validation is required to confirm these results and fully understand the impact of dual mutations on lasofoxifene's effectiveness in ERα + metastatic BC.
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