Polypharmacology across ~245 predicted protein targets (None)

The term "Polypharmacology across ~245 predicted protein targets" does not identify a single biological molecule but instead describes a multi-target interaction profile often generated by computational prediction tools. Polypharmacology refers to the ability of a single drug or compound to interact with multiple distinct biological targets, such as receptors, enzymes, and transporters, which can lead to complex therapeutic or adverse effects (Peters, 2013). This specific phrasing likely originates from an in silico screening report, such as those produced by SwissTargetPrediction, which estimates the likelihood of a small molecule binding to a broad array of human proteins based on molecular similarity (Gfeller et al., 2014). Because this entry represents a collective set of approximately 245 different potential targets, it lacks a single canonical structure, specific biological function, or discrete role in a single disease state. Understanding such broad interaction profiles is crucial for biotech analysts to assess the systemic impact of drugs, identify potential off-target toxicities, and explore opportunities for drug repurposing. Consequently, this entry is classified as "incorrect" for the purposes of single-target annotation as it represents a pharmacological concept or dataset rather than a specific molecular entity.

Other names

Multi-target interaction profilePredicted proteome-wide binding profile

Not applicable as this refers to a collection of targets rather than a single mechanism.