Journal of Molecular Graphics and ModellingCancer BiologyPeer-reviewed journal article
In Silico Discovery of Multi-Target Natural Ligands and Efficient siRNA Design for Overcoming Drug Resistance in Breast Cancer via Local Therapy
Seyed Mohammad Javad Hashemi, Hossein GhalehnoeiiD, Ali BarzegariD, Mehran Feizi‐DehnayebiiD, Javad AkhtariiD, Amir MellatiiD
Abstract
In this study, we designed an efficient siRNA for PKMYT1 gene knockdown, and evaluated the binding affinities of different natural ligands to crucial proteins involved in breast cancer. Designed siRNA showed strong binding affinity and minimal off-target effects. Molecular docking studies identified new ligands as antagonists with high binding affinities for aromatase, estrogen receptor alpha, HER2, and PARP10, as well as agonists for MT2 and STING. The natural ligand SCHEMBL7562664 was introduced as a golden ligand due to its high affinity among multiple targets and lack of cytotoxic and mutagenic effects. Natural small molecules identified in this research, due to their multi-target characteristics, provided a solution to overcome the problem of drug resistance in cancer cells. Furthermore, the proposed three dimensional scaffold design for local breast cancer therapy offers a promising approach to increase the delivery and efficacy of these natural small molecules, reduce systemic side effects, and improve treatment outcomes. In this study, new ligands with significant binding affinities and favorable pharmacokinetic properties were identified, which paves the way for further research in targeted therapy of breast cancer.
- organism: human
- assay: proteomics
- research focus: drug response / drug discovery
- approach: mechanistic / dynamical model
- Citations
- 7
- FWCI
- 2.76
- Field percentile
- top 9%
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