Design of hyperthermophilic lipase chimeras by key motif-directed recombination

Hotspots and Mechanisms of Action of the Thermostable Framework of a Microbial Thermolipase

The lipase TrLipB from Thermomicrobium roseum is highly thermostable. However, its thermostable skeleton and mechanism of action should be investigated for industrial applications. Toward this, TrLipB was crystallized using the hanging-drop vapor diffusion method and subjected to X-ray diffraction at 2.0 Å resolution in this study. The rigid sites, such as the prolines on the relatively flexible loops on the enzyme surface, were scanned. Soft substitutions of these sites were designed using both molecular dynamics (MD) simulation and site-directed mutagenesis. The thermostability of several substitutions decreased markedly, while the catalytic efficiencies of the P9G, P127G, P194G, and P300G mutants reduced substantially; additionally, the thermostable framework of the double mutant, P194G/P300G, was considerably perturbed. However, the substitutions on the lid of the enzyme, including P49G and P48G, promoted the catalytic efficiency to approximately 150% and slightly enhanced the thermostability below 80 °C. In MD simulations, the P100G, P194G, P100G/P194G, P194G/P300G, and P100G/P194G/P300G mutants showed high B-factors and RMSD values, whereas the secondary structures, radius of gyration, H-bonds, and solvent accessible surface areas of these mutants were markedly affected. Our observations will assist in understanding the natural framework of a stable lipase, which might contribute to its industrial applications.

Using natural sequences and modularity to design common and novel protein topologies

Protein design is still a challenging undertaking, often requiring multiple attempts or iterations for success. Typically, the source of failure is unclear, and scoring metrics appear similar between successful and failed cases. Nevertheless, the use of sequence statistics, modularity and symmetry from natural proteins, combined with computational design both at the coarse-grained and atomistic levels is propelling a new wave of design efforts to success. Here we highlight recent examples of design, showing how the wealth of natural protein sequence and topology data may be leveraged to reduce the search space and increase the likelihood of achieving desired outcomes.