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The extracellular vesicles (EVs) role in intercellular communication of transferring the cargoes of biomolecules such as proteins and nucleic acid between cells has been revealed recently. EV-mediated molecular communications (MC) is involved in targeted cells that receive EVs following the mechanisms of endocytosis. Such mechanisms comprise various processes of EV binding, internalization, and recycling that are characterized by specific factors of reaction. Accurate estimation of these factors is essential for the MC receiver assessment upon EV signaling. Here, we propose a fitting model to approximate the reaction rate parameters based on a suggested scenario corresponding to an experimental setup. The results of relative error for the estimated rates based on the simulated data are presented. The estimation method given in this paper can help future works on data analysis and minimizing the experimental resources. CCS CONCEPTS• Applied computing → Computational biology; Health care information systems; Physical sciences and engineering.