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.

Drug Discovery Today
|July 18, 2020
PubMed

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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