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Objective The combination of mechanics and drugs through the mining of mechanics-drug targets for breast cancer provide an important reference for the development of new drugs for breast cancer and repurposing old drugs.Methods Based on the multiple expression data of breast cancer and the annotation data in GO database，bioinformatics methods such as differential expression analysis and enrichment analysis were used to explore the targets involved in the mechanics-drug interaction in breast cancer，and constructed a three-dimensional network of GO function-gene-drugs based on the drug target databases.Results Eighty-seven targets involved in the interaction between mechanics and pharmacology in breast cancer were identified through integrating the data，of which 12 targets were confirmed to be breast cancer or cancer drug targets and played a mechanical role，and the other genes could be used as potential targets for breast cancer drugs and served as reference for related studies.Conclusions Through data mining，we identified 87 targets involved in the mechanical-pharmaceutical interaction in breast cancer，and revealed the molecular mechanism of mechanical-pharmaceutical interaction in breast cancer，which provided guidelines for drug therapy.