Computational predictions of thermostability and binding affinity changes in enzymes

Lead Research Organisation: University of Portsmouth
Department Name: School of Biological Sciences


The use of enzymes for chemical synthesis and recycling is often limited by their low thermostability, as many reactions require high temperatures. Therefore, high performance computing procedures to find mutations that increase protein stability would represent a competitive advantage for the green industry. This project aims at using molecular dynamics simulations to determine the effect of point mutations on the thermostability of different enzymes. The targets include well-characterized examples from the literature (RNAse SA) for benchmarking, and new mutants of plastic-degrading enzymes that are currently being experimentally evaluated at the CEI (e.g., PETase and cutinases). The mutations are simulated in the folded and the unfolded state to determine the relative free energy changes deltadeltaG. The folded state is modelled based on the crystal structure of the enzyme, and the unfolded state can be modelled by small peptides in water. Ideally, the simulations will provide a scale that ranks all canonical amino acids in terms of their influence on protein stability. This can be used to train fast bioinformatics approaches. The temperature-dependent data of hydration free energies and conformational entropies of each amino acid type can help to understand the mutation patterns during the evolution of thermophilic organisms.

Another important factor for proper enzyme function is the capability to bind to the substrate at elevated temperatures. Protein-ligand binding is often driven by the hydrophobic effect, which depends on the temperature. Therefore, it is often necessary to optimize the binding pocket to allow substrate binding at high temperatures (e.g., the binding of PET plastics to PETase). Such calculations are already common in computational drug design, so the required tools already exist in computational chemistry, and only have to be modified to optimize the binding pocket instead of the ligand. Possible applications include the design of thermostable enzymes that can degrade plastics for recycling.


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Studentship Projects

Project Reference Relationship Related To Start End Student Name
BB/T008768/1 01/10/2020 30/09/2028
2610945 Studentship BB/T008768/1 01/10/2021 30/09/2025 Konstantinos Athanasios Tornesakis