Understanding the biological processes underlying Pressure Ulcer (PU) is an important strategy to identify new molecular targets. Bioinformatics has emerged as an important screening tool for a broad range of diseases.This study aim of the current study is to investigate the protein-protein interaction in the PU context by bioinformatics.We performed a search in gene databases, and bioinformatics algorithms were used to generate molecular targets for PU based in silico investigation. Interactions networks between protein-coding genes were built and compared to skin.TNFA, MMP9, and IL10 genes have higher disease-related connectivity than a connectivity general global. MAGOH, UBC, and PTCH1 as were leader genes related to skin. Ontological analysis demonstrated different mechanisms associated, such as response to oxidase stress.TNFA, MMP9, and IL10 are possible therapeutic targets for pressure ulcer. Additional investigation of cell post-transcriptional machinery should be investigated in PU.