Computing Cellulase Kinetics with a Two-Domain Linear Interaction Energy Approach.

Area of Science:

• Biocatalysis and enzyme engineering
• Computational chemistry and molecular modeling
• Green chemistry and sustainable industrial processes

Background:

• Heterogeneous enzyme reactions are crucial for nature and industry, but computational prediction of their catalytic properties is limited.
• The Sabatier principle offers a link between binding strength and catalytic rate in heterogeneous biocatalysis, enabling potential computational parameter determination.
• Accurate prediction of binding free energies in complex two-phase systems is essential for broader implementation, but current computational methods are lacking.

Purpose of the Study:

• To develop a novel computational framework for assessing binding strengths of multidomain proteins, specifically interfacial enzymes.
• To adapt and extend the linear interaction energy (LIE) method for predicting binding and activation free energies in complex enzymatic systems.
• To create a fast and reliable computational screening tool for identifying and characterizing novel biocatalysts.

Main Methods:

• Proposed a two-domain linear interaction energy (2D-LIE) approach, an extension of the LIE method.
• Applied the 2D-LIE method to predict binding and activation free energies for a diverse set of cellulases.
• Validated the accuracy and robustness of the developed computational models.

Main Results:

• The 2D-LIE approach successfully predicted binding and activation free energies of cellulases with high accuracy.
• Developed robust computational models demonstrating the efficacy of the 2D-LIE method.
• Established a fast computational screening tool for uncharacterized cellulases.

Conclusions:

• The 2D-LIE method provides an efficient computational tool for assessing binding strengths of interfacial enzymes.
• This approach facilitates the discovery of novel biocatalysts, particularly cellulases, for various applications.
• The proposed framework holds potential applicability for other types of heterogeneously acting biocatalysts.