Full-sequence computational design and solution structure of a thermostable protein variant.

Area of Science:

• Protein Engineering
• Computational Biology
• Structural Biology

Background:

• The Drosophila melanogaster engrailed homeodomain is a key developmental protein.
• Redesigning protein sequences computationally can lead to novel structures and functions.
• Understanding protein stability is crucial for protein engineering applications.

Purpose of the Study:

• To computationally redesign the entire sequence of the Drosophila melanogaster engrailed homeodomain.
• To evaluate the stability and structural integrity of computationally designed protein variants.
• To compare different sequence optimization algorithms in protein design.

Main Methods:

• Utilized computational protein design procedures for sequence redesign.
• Employed various sequence optimization algorithms.
• Experimentally evaluated two designed sequences, including structural determination via multidimensional heteronuclear NMR spectroscopy.

Main Results:

• Two novel sequences were designed, differing by 11 mutations from the wild-type.
• Designed proteins exhibited significantly higher thermal stability (Tm > 99°C) compared to the wild-type.
• Structural analysis confirmed that one designed protein closely matched the intended design template.

Conclusions:

• Computational protein design can successfully generate highly stable protein variants.
• The redesigned engrailed homeodomain proteins demonstrate enhanced stability while preserving structural fidelity.
• This study validates computational approaches for engineering protein stability and function.