RosettaSurf

RosettaSurf optimizes protein molecular surfaces to design functional protein sites and binding interfaces by explicitly modeling geometric (shape) and electrostatic surface properties.

Key Features:

• Surface-Centric Design: Explicitly optimizes molecular surface geometric (shape) and chemical (electrostatic) properties to guide sequence design.
• Independence from Sequence and Backbone Configuration: Exploits the premise that molecular surface features can be preserved independent of underlying amino acid sequence and backbone configuration, enabling surface-driven designs without structurally analogous templates.
• Global Scoring Function Integration: Combines explicit surface optimization with a global scoring function during sequence design to balance surface properties and overall energy.
• Benchmarking and Validation: Benchmarked on sequence recovery datasets and shown to generate epitope mimics that have been biochemically validated.
• Experimental Library Optimization: Supports computational screening to optimize experimental libraries for designing highly specific protein binders.

Scientific Applications:

• Protein-Protein Interaction Design: Guides design or alteration of protein-protein interactions by optimizing surface complementarity and electrostatics.
• Functional Site Engineering: Enables design of functional binding sites even in the absence of structurally similar templates by recreating target surface features.
• Immunogen Design: Used to design immunogens that engage site-specific antibodies and generate epitope mimics for vaccine or therapeutic development.
• Synthetic Biology and Biotechnology: Facilitates creation of proteins with novel functions for synthetic biology components and other protein-based biotechnologies.

Methodology:

Performs explicit optimization of molecular surface geometric and electrostatic properties coupled to a global scoring function during sequence design and employs computational screening to optimize experimental libraries and generate proteins that mimic known binding sites.