Computational design of a sensitive, selective phase-changing sensor protein for the VX nerve agent

Area of Science:

• Biochemistry
• Molecular Biology
• Chemical Sensors

Background:

• VX nerve agent is a highly toxic chemical warfare agent.
• Existing detection methods lack specificity, sensitivity, or real-time capabilities.
• High toxicity of VX makes laboratory experimentation costly and challenging.

Purpose of the Study:

• To design and develop novel protein-based biosensors for specific and sensitive detection of VX nerve agent.
• To overcome limitations of current detection methods for VX.
• To create a new generation of small-molecule biosensors.

Main Methods:

• Utilized a supercharged scaffold protein design.
• Incorporated a large-scale phase change upon ligand binding for enhanced recognition.
• Employed a distributed evolutionary algorithm in protCAD for binding site residue selection.
• Designed fully internal, high-surface-area binding sites for high affinity and specificity.

Main Results:

• Successfully designed two VX-binding proteins.
• Achieved specific and sensitive detection of VX at parts per billion concentrations.
• Demonstrated the efficacy of computational design for creating buried molecular recognition sites.
• Validated the use of supercharged, phase-changing chassis proteins for biosensor development.

Conclusions:

• Computational design of buried molecular recognition sites is effective for biosensor development.
• Supercharged, phase-changing chassis proteins enable rapid development of small-molecule biosensors.
• This approach facilitates the creation of a new generation of highly specific and sensitive chemical sensors.