Evolutionary processes have optimized the structure of enzymes to deliver a desired catalytic function. Proteins, however, are fragile and easily succumb to extreme environmental conditions that are typically associated with established pretreatment technologies for biomass processing, such as dilute acid. We are attempting to modify the sequence, structure, and optimal operating characteristics of these enzymes so that a consolidated bioprocessing approach, collapsing the pretreatment and enzymatic hydrolysis steps into one unit operation, can be implemented to lower costs dramatically. The current estimates of the state-of-the-art pretreatment and enzymatic hydrolysis steps are 25-32% of the estimated total operating costs of a lignocellulosic biorefinery. Three-dimensional structures for each member of the enzyme family are either directly acquired from the protein data base (PDB) or if structural information is not available, homology modeling techniques will be used to build three-dimensional models (if a template structure exists). The active sites of the enzymes are then aligned and compared, and a geometric and chemical "fingerprint" is generated for the site. The active site fingerprint is compared with a set of synthetically accessible scaffolds and/or fragments to identify matches with significant geometric and chemical similarity. The set of scaffolds thus identified are tested and optimized using an iterative process involving detailed atomistic simulations and in-house techniques to suggest modifications followed by the production of new engineered and tailored enzymes for the hydrolysis of cellulosic and lignocellulosic materials.
The hyperthermophilic archaea that thrive under extremes of temperature, pH, salinity etc., have received considerable attention because of the high thermostability of their associated enzymes. The crenarchaeote Sulfolobus solfataricus is a thermoacidophile that grows optimally at approximately 80 °C and pH 2– 4. As such, the proteins isolated from this organism are functional at high temperature and low pH, making them ideal candidates for use in a consolidated dilute acid biomass pretreatment scenario. The genome of S. solfataricus has been sequenced, and three genes (designated sso1354, sso1949 and sso2534) encoding potentially secreted endo-â-glucanases of glycoside hydrolases (GH) family 12 are found in the genome. We selected the SSO1949 gene that generates an endo-â-glucanase (EC 3.2.1.4), exhibits an exceptional activity at extremely low pH, and is thermostable. Our objective is to engineer this enzyme to be a highly efficient catalyst as defined by high turnover and low affinity for binding of the cellulose substrate. This enzyme has a molecular weight of 37 kDa and catalyzes the hydrolysis of carboxymethylcellulose and other oligomers of cellulose to cellobiose and cellotriose. These products can be easily screened for using established commercial assays. We obtained a clone of this gene from the lab of Dr. G. Lipps at the Institute of Biochemistry, University of Bayreuth, Bayreuth, Germany and our current experimental objective is to establish conditions for expression of the proteins, high throughput purification and enzymatic analysis of the protein.
The SSO1949 was cloned into pET-28c-1949Nhis, where the SSO1949 protein carries a fusion of six histidine residues at its N-terminus to enable affinity chromatographic separation of the SSO1949. This plasmid was then transformed into E. coli for expression and protein expression induced via IPTG addition. The active and soluble portion of the purified enzyme demonstrates that the SSO1949 is significantly more active than other commercial endo-â-glucanase at optimal temperature and pH. We will present the results obtained from the computationally predicted sequence changes in terms of improved performance and efficiency.