Motif-directed redesign of enzyme specificity

Area of Science:

• Biochemistry
• Computational Biology
• Protein Engineering

Background:

• Protein design often uses approximations like fixed backbones and rotamers for computational tractability.
• Incorporating backbone and off-rotamer flexibility enhances design accuracy and conformational diversity but poses sampling challenges.

Purpose of the Study:

• To develop a computational method that efficiently explores conformational space by utilizing native interactions to guide backbone flexibility.
• To improve the accuracy and reduce the sampling burden in computational protein design.

Main Methods:

• A novel motif-based design algorithm was developed and implemented within the Rosetta software.
• The method uses preselected libraries of native interaction modules (motifs) to direct backbone flexibility.
• The algorithm identifies suitable backbone perturbations to accommodate functional contacts.

Main Results:

• The motif-based approach facilitates a directed search of conformational space, reducing the need for exhaustive sampling.
• The method demonstrated effectiveness in redesigning the substrate specificity of methionine aminopeptidase.
• This approach increases the likelihood of realizing desired interactions in protein designs.

Conclusions:

• Computational protein design can be advanced by incorporating native interaction motifs to manage backbone flexibility.
• This method offers a more accurate and efficient strategy for redesigning enzyme specificity.
• The demonstrated success on a model system suggests broad applicability in generating novel enzyme functions.