Adding diverse noncanonical backbones to rosetta: enabling peptidomimetic design.

Area of Science:

• Computational chemistry and structural biology
• Peptidomimetics and molecular design

Background:

• Peptidomimetics mimic polypeptide structure and function, with applications in molecular recognition and inhibiting protein-protein interactions.
• A key limitation in peptidomimetic design is the lack of tools to predict sequences adopting desired conformations.
• Existing computational tools primarily focus on canonical peptide backbones.

Purpose of the Study:

• To present expansions to the ROSETTA platform for structure prediction and design of molecules with noncanonical backbones.
• To provide a detailed description of the implementation of five new non-peptidic oligomer scaffolds.
• To offer a general framework for implementing novel backbone types in ROSETTA.

Main Methods:

• Implementation of five non-peptidic oligomer scaffolds within the ROSETTA computational platform.
• Testing of the ROSETTA molecular mechanics energy function for oligooxopiperazines, validated with quantum mechanical calculations.
• Automated design of a specific oligooxopiperazine targeting the p53-MDM2 protein-protein interaction.

Main Results:

• Successful integration and description of five noncanonical backbones (oligooxopiperazines, oligo-peptoids, [Formula: see text]-peptides, hydrogen bond surrogate helices, and oligosaccharides) into ROSETTA.
• Validation of the ROSETTA energy function for oligooxopiperazines, demonstrating its capability for conformational scanning.
• Demonstration of automated design for a peptidomimetic inhibitor of the p53-MDM2 interaction.

Conclusions:

• The expanded ROSETTA platform provides an automated and expandable modeling tool for noncanonical backbones, addressing a critical need in peptidomimetic research.
• Web applications are available for the broader biological and bioengineering community to utilize these new design protocols.
• This work facilitates the development of novel peptidomimetics for diverse applications, including therapeutic intervention.