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Updated: Dec 14, 2025

Utilizing Functional Genomics Screening to Identify Potentially Novel Drug Targets in Cancer Cell Spheroid Cultures
Published on: December 26, 2016
Interfering with S100B-effector protein interactions for cancer therapy
Ke-Jia Wu1, Wanhe Wang2, Hui-Min David Wang3
1State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Taipa 999078, Macao SAR, China.
Abstract:
S100 calcium-binding protein B (S100B) is overexpressed in various malignant tumors, where it regulates cancer cell proliferation and metabolism by physical interactions with other molecules. Interfering with S100B-effector protein interactions is a potential strategy to treat malignant tumors. Although some S100B inhibitors have been discovered by virtual screening (VS), most target the S100B-p53 interaction. Hence, there is scope for the discovery of other S100B-effector protein interaction modulators for malignant tumors. In this review, we provide an overview of S100B-effector protein interaction inhibitor discovery using VS and discuss promising S100B-effector protein interaction targets that permit in silico analysis for drug discovery.
Insights
S100 calcium-binding protein B (S100B) drives cancer growth. This review explores virtual screening to find new drugs targeting S100B interactions, offering novel therapeutic strategies for malignant tumors.
Area of Science:
- Biochemistry and Molecular Biology
- Oncology
- Drug Discovery
Background:
- S100 calcium-binding protein B (S100B) is frequently overexpressed in malignant tumors.
- S100B influences cancer cell proliferation and metabolism through molecular interactions.
- Targeting S100B-effector protein interactions presents a promising therapeutic strategy for cancer treatment.
Purpose of the Study:
- To review the discovery of S100B-effector protein interaction inhibitors using virtual screening (VS).
- To identify and discuss novel S100B-effector protein targets for in silico drug discovery.
- To highlight the potential of targeting alternative S100B interactions beyond the S100B-p53 pathway.
Main Methods:
- Literature review of virtual screening studies focused on S100B inhibitors.
- Analysis of known S100B-effector protein interactions relevant to cancer.
- In silico approaches for identifying and validating new drug targets.
Main Results:
- Virtual screening has identified some S100B inhibitors, primarily targeting the S100B-p53 interaction.
- There is a significant unmet need and opportunity for discovering modulators of other S100B-effector protein interactions.
- Several S100B-effector protein interactions are potential targets for computational drug discovery.
Conclusions:
- Developing inhibitors for diverse S100B-effector protein interactions is crucial for advancing cancer therapy.
- Virtual screening and in silico analysis are valuable tools for discovering novel S100B-targeted cancer drugs.
- Exploring new S100B targets beyond p53 can lead to more effective treatments for various malignant tumors.
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