In Silico Modeling of PROTAC-Mediated Ternary Complexes: Validation and Application.

Area of Science:

• Computational chemistry
• Structural biology
• Drug discovery

Background:

• Proteolysis-Targeting Chimeras (PROTACs) are an emerging therapeutic modality.
• Understanding PROTAC-mediated ternary complex formation is crucial for drug design.
• Predictive modeling can accelerate the development of novel PROTACs.

Purpose of the Study:

• To develop and validate computational methods for generating in silico ensembles of PROTAC-ternary complexes.
• To establish filters for identifying plausible ternary complex structures.
• To demonstrate the utility of these methods for predicting PROTAC degradation behavior.

Main Methods:

• Development of four distinct computational approaches for ternary complex generation.
• Implementation of structure-based filters to assess the quality of predicted complexes.
• Application of modeling techniques for comparative analysis of PROTAC activity.

Main Results:

• Validated methods for in silico ternary complex ensemble generation.
• Successful identification of PROTAC-protein interactions resembling crystal structures.
• Demonstrated ability to predict differential degradation of mutant vs. wild-type proteins.
• Distinguished degradation profiles among closely related protein targets.
• Differentiated the efficacy of various PROTAC molecules.

Conclusions:

• The presented computational methods provide a powerful tool for a priori prediction of PROTAC activity.
• These in silico approaches can guide the rational design and optimization of PROTAC therapeutics.
• This work facilitates the selection of effective PROTACs and target proteins for drug development.