In Silico Engineering of therapeutic Enzymes

Robert Soliva and Víctor Guallar

  • PROJECT LEADER

    Robert Soliva and Víctor Guallar

  • HOST ORGANIZATION,
    COUNTRY

    Barcelona Supercomputing Center, Spain

  • DESCRIPTION

    Research
    Computational models for optimized enzymes with enchanced properties that are developed for therapeutic purposes.

    Many human pathologies are associated with dysfunctional enzyme activity, therefore the optimization of their activity has large potential to be applied in the development of enzyme-based therapies, improving the safety profile, efficiency and speeding up development.

    PELE is the state of the art software developed at BSC for sampling the interactions of enzymes and their ligands.

    Aim
    To extend the application of PELE software to the optimization of enzymes, with a promising outcome for human disease therapies.

    Problem to Solve
    Many monogenic pathologies affecting humans are directly caused by the absence or the dysfunction of a particular enzyme. In most cases, the mutation(s) affecting the gene and therefore causing enzyme underperformace vary among patients, thus complicating the development of suitable therapies.

    One of the most promising therapeutic approaches for these type of pathologies is the so-called “enzyme-replacement therapy” (ERT), for which the defective enzyme is administered as a therapeutic entity. In order to maximize the efficacy of ERT, the enzymes have to be optimized for their activity, stability and substrate specificity.

    Innovation
    PELE-e is a state of the art software application for sampling the interactions of proteins (enzymes) and their ligands, which are the substrates that the enzymes act on.

    Level of Innovation
    PELE-e represents a significant breakthrough in the computational modelling of protein dynamics and in mapping protein-ligand interactions.

    Enzyme replacement therapy is a validated strategy to be applied for the treatment of mongenic disases, usually with orphan status. Thus, the potential impact of an improved therapeutic enzyme would be very high and appealing.