RESUMO
BACKGROUND: 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. OBJECTIVE: This study aim of the current study is to investigate the protein-protein interaction in the PU context by bioinformatics. METHODS: 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. RESULTS: 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. CONCLUSION: TNFA, MMP9, and IL10 are possible therapeutic targets for pressure ulcer. Additional investigation of cell post-transcriptional machinery should be investigated in PU.