The prevalence of obesity has increased dramatically worldwide, whereas the types of treatment and their efficacy have not substantially changed over the last two decades. Additionally, drugs used to control weight gain could occasionally create untoward effects in cardiovascular functions, as well as in behaviors, memory, sleep, and emotions because the molecular machinery responsible for ingestion control is interconnected with or shared by the above domains. How each group of drugs preserves the privacy of its message in the mutual network is not fully understood. In the present essay, the graph theory approach was used to explore some aspects of molecular signaling as though they were a 'language'. Its emphasis is on 'molecular polysemy', a term that refers to the ability of biomolecules to be used like words in natural languages more than one-way. This has physiological and clinical implications, in particular when planning drug designs with "specially engineered shotgun loads" that target a combination of biomolecules that assure a better therapeutic outcome without causing deficits in connected but patho-physiologically irrelevant bystanders.
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