The FATP2 axis in cancer: Structural informatics and implications for drug discovery

Area of Science:

• Biochemistry
• Molecular Biology
• Drug Discovery

Background:

• Dysregulated fatty acid (FA) metabolism is crucial for tumor growth and metastasis.
• Fatty acid transport protein 2 (FATP2/SLC27A2) regulates long-chain fatty acid (LCFA) uptake and activation, impacting tumor-associated immune suppression.
• Limited high-resolution structural data hinders FATP2-targeted drug discovery.

Purpose of the Study:

• To review current biological understanding of FATP2.
• To integrate computational and structural informatics for FATP2 inhibitor design.
• To propose a structure-based framework for developing next-generation FATP2 inhibitors.

Main Methods:

• Literature review of biological insights into FATP2.
• Analysis of reported chemotypes.
• Assessment of homology and AlphaFold-derived FATP2 models.
• Integration of structural and computational data.

Main Results:

• Identification of FATP2 as a key metabolic gatekeeper in cancer.
• Evaluation of existing chemical compounds targeting FATP2.
• Development of a framework for structure-based inhibitor design using computational models.

Conclusions:

• A structure-based approach is essential for effective FATP2 inhibitor design.
• The proposed framework can guide the prioritization of novel FATP2-targeting drug candidates.
• Targeting FATP2 offers a promising strategy for cancer therapy.