Bio-derived materials for sustainability & environmental remediation

Significant effort has been devoted to developing chemistries to effectively mimic biological processes. Despite decades of effort, these methods often fail to replicate the efficiency and selectivity of native systems.

We have found that by combining chemistry with the inherent activity of biomolecules and microbes, we can improve upon conventional technologies for clean energy and sustainability. Specifically, by combining biomolecular assembly with conventional electrocatalysis, we have improved the specificity and efficiency of electrocatalytic CO2 reduction.

Additionally, we have engineered bio-derived microbial coatings to enable their delivery to depleted soil. Finally, by combining electroactive microbes with engineered enzymes, we have developed a platform to degrade and electrochemically detect harmful pesticides.

Through these technologies, we have consistently found that the combination of chemistry and biomolecular engineering affords advantages beyond the capabilities of either technology alone.

THURSDAY  I  MAR. 31  I  3:30-4:30 PM CST  I  HYBRID SEMINAR

The molecular basis for antiseptic resistance in bacteria

By providing broad resistance to ubiquitous disinfectants and antiseptics and other environmental biocides, transporters from the small multidrug resistance (SMR) family drive the spread of multidrug resistance cassettes among bacterial populations.

A fundamental understanding of substrate selectivity by SMR transporters is needed to identify the types of selective pressures that contribute to this process. In this talk, I will describe the molecular basis for the recognition of diverse substrates by SMR proteins, revealed through a combination of X-ray crystallography and electrophysiological approaches.

THURSDAY  I  MAR. 17  I  3:30-4:30 PM CST  I  REMOTE SEMINAR

Ecology-inspired & genomics-assisted discovery of bioactive natural products

Bacteria biosynthesize structurally diverse small molecules to interact with their environment. Many of the complex natural products involved in this “metabolic small talk” have been exploited as drugs in human and veterinary medicine.
Genome mining, i.e., the screening of genome sequences for their natural product biosynthetic potential, has revolutionized natural product discovery. Several generations of highly so-phisticated genome mining pipelines have been developed for the identification and annotation of natural product biosynthetic blueprints in genome sequences and to predict the structures of the associated metabolites.

Most genome mining pipelines are based on the seemingly universal biosynthetic principles deciphered for each natural product class. Natural products whose biosynthesis deviates from these seemingly universal rules, however, are in many cases overlooked by state-of-the-art genome mining algorithms. The corresponding non-canonical biosynthetic blueprints display an almost untapped treasure map for the identification of novel bioactive metabolites.
We develop artificial intelligence-based genome mining algorithms to chart this biosynthetic dark matter and to identify putative non-canonical biosynthetic transformations with the goal to expand natural product chemical space.

THURSDAY  I  FEB. 24  I  3:30-4:30 PM CST  I  REMOTE SEMINAR