Giuseppe Cicero
Transformer-Based Prediction of Ligand–Receptor Dissociation Rates targeting Drug Discovery.
Rel. Marco Agostino Deriu, Eric Adriano Zizzi. Politecnico di Torino, Master of science program in Biomedical Engineering, 2025
Abstract
The kinetic properties that regulate drug-target interactions play a key role in determining pharmacological efficacy, as they influence how long a compound remains bound to its receptor and, consequently, the duration and intensity of the therapeutic effect. Among these, the dissociation rate constant koff is particularly relevant, because it directly relates to the average residence time of the bound drug, thereby reflecting the stability of the ligand-receptor complex. In this context, the experimental determination of kinetic parameters such as the dissociation rate constant remains a complex, slow, and often poorly reproducible process, making the use of alternative computational tools increasingly necessary to accelerate the drug discovery and development pipeline.
To this end, in silico prediction methods represent a promising strategy to accelerate the study of binding kinetics and to support the early stages of drug discovery
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