Numerous studies have been conducted to understand peroxisome proliferator-activated receptors (PPAR)-related diseases (over 1,000), genes, and proteins involved in PPAR signaling (over 2,600), compounds targeting this pathway (over 8,000), and the cell processes affected (over 1,000). These studies have built a solid foundation and a valuable knowledge database for functional dissection of PPAR-regulated networks which may be executed either in the wet lab or in silico. Thorough modeling of PPAR signaling and related diseases represents a significant research opportunity as a key contributor towards personalized medicine, due to its potential for precise modulation.

This special issue aims to present efforts in the integration of existing databases and knowledge-based algorithms into experimental and computational studies of PPAR signaling and related disorders. Both original research and review articles are welcome, and systematic reviews and meta-analysis studies are also within the scope.

Potential topics include but are not limited to the following:

• Reviews and research proposing novel avenues for PPAR signaling and related diseases research, with argumentation supported by in silico modeling or aided by knowledge-based algorithms
• In silico studies of PPAR-regulating compounds, including nutraceuticals, and their effects on healthy and diseased tissues
• Meta/mega-analysis to build/validate novel/existing biological networks and signaling pathways and reveal PPARs functionalities in diseases
• Experimental studies in the area of PPAR research, when experimentation is aimed at testing hypotheses derived from predictions made in silico
• PPAR-related clinical studies rationally designed as a follow-up to analysis of existing knowledge databases