Reconnecting Students and Faculty to Maximize Academic Integrity and Minimize Student Stress in the Virtual Classroom.

The article documents faculty experiences with the shift online due to the pandemic and provides recommendations to science, technology, engineering, and mathematics (STEM) instructors. Over 100 faculty members were surveyed on these topics and contrasted with previously reported student experiences. The online shift changed how faculty administered exams, ran courses, and acted to ensure academic integrity.

Maximizing Academic Integrity While Minimizing Stress in the Virtual Classroom.

The article documents students' experiences with the shift online at the onset of the COVID-19 pandemic and provides informed recommendations to STEM instructors regarding academic integrity and student stress. Over 500 students were surveyed on these topics, including an open-ended question. Students experienced more stress and perceived a greater workload in online courses and therefore preferred in-person courses overall.

Triage and Recovery of STEM Laboratory Skills.

The global COVID-19 pandemic left universities with few options but to turn to remote learning. With much effort, STEM courses made this change in modality; however, many laboratory skills, such as measurement and handling equipment, are more difficult to teach in an online learning environment. A cohort of instructors who are part of the NSF RCN-UBE funded Sustainable, Transformative Engagement across a Multi-Institution/Multidisciplinary STEM (STEM) Network (a working group of faculty from two community colleges and three 4-year universities) analyzed introductory biology and chemistry courses to identify essential laboratory skills that students will need in advanced courses.

A 13-week research-based biochemistry laboratory curriculum.

Here, we present a 13-week research-based biochemistry laboratory curriculum designed to provide the students with the experience of engaging in original research while introducing foundational biochemistry laboratory techniques. The laboratory experience has been developed around the directed evolution of an enzyme chosen by the instructor, with mutations designed by the students. Ideal enzymes for this curriculum are able to be structurally modeled, solubly expressed, and monitored for activity by UV/Vis spectroscopy, and an example curriculum for haloalkane dehalogenase is given.

Biochemical characterization of two haloalkane dehalogenases: DccA from Caulobacter crescentus and DsaA from Saccharomonospora azurea.

Two putative haloalkane dehalogenases (HLDs) of the HLD-I subfamily, DccA from Caulobacter crescentus and DsaA from Saccharomonospora azurea, have been identified based on sequence comparisons with functionally characterized HLD enzymes. The two genes were synthesized, functionally expressed in E. coli and shown to have activity toward a panel of haloalkane substrates.

Alteration of substrate specificity of alanine dehydrogenase.

The l-alanine dehydrogenase (AlaDH) has a natural history that suggests it would not be a promising candidate for expansion of substrate specificity by protein engineering: it is the only amino acid dehydrogenase in its fold family, it has no sequence or structural similarity to any known amino acid dehydrogenase, and it has a strong preference for l-alanine over all other substrates. By contrast, engineering of the amino acid dehydrogenase superfamily members has produced catalysts with expanded substrate specificity; yet, this enzyme family already contains members that accept a broad range of substrates. To test whether the natural history of an enzyme is a predictor of its innate evolvability, directed evolution was carried out on AlaDH.

Biocatalytic asymmetric synthesis of chiral amines from ketones applied to sitagliptin manufacture.

Pharmaceutical synthesis can benefit greatly from the selectivity gains associated with enzymatic catalysis. Here, we report an efficient biocatalytic process to replace a recently implemented rhodium-catalyzed asymmetric enamine hydrogenation for the large-scale manufacture of the antidiabetic compound sitagliptin. Starting from an enzyme that had the catalytic machinery to perform the desired chemistry but lacked any activity toward the prositagliptin ketone, we applied a substrate walking, modeling, and mutation approach to create a transaminase with marginal activity for the synthesis of the chiral amine; this variant was then further engineered via directed evolution for practical application in a manufacturing setting.

Improving catalytic function by ProSAR-driven enzyme evolution.

We describe a directed evolution approach that should find broad application in generating enzymes that meet predefined process-design criteria. It augments recombination-based directed evolution by incorporating a strategy for statistical analysis of protein sequence activity relationships (ProSAR). This combination facilitates mutation-oriented enzyme optimization by permitting the capture of additional information contained in the sequence-activity data.

Evolutionary potential of (beta/alpha)8-barrels: functional promiscuity produced by single substitutions in the enolase superfamily.

The members of the mechanistically diverse, (beta/alpha)(8)-barrel fold-containing enolase superfamily evolved from a common progenitor but catalyze different reactions using a conserved partial reaction. The molecular pathway for natural divergent evolution of function in the superfamily is unknown. We have identified single-site mutants of the (beta/alpha)(8)-barrel domains in both the l-Ala-d/l-Glu epimerase from Escherichia coli (AEE) and the muconate lactonizing enzyme II from Pseudomonas sp.

Systematic variation of amino acid substitutions for stringent assessment of pairwise covariation.

During protein evolution, amino acids change due to a combination of functional constraints and genetic drift. Proteins frequently contain pairs of amino acids that appear to change together (covariation). Analysis of covariation from naturally occurring sets of orthologs cannot distinguish between residue pairs retained by functional requirements of the protein and those pairs existing due to changes along a common evolutionary path.

Synthetic shuffling expands functional protein diversity by allowing amino acids to recombine independently.

We describe synthetic shuffling, an evolutionary protein engineering technology in which every amino acid from a set of parents is allowed to recombine independently of every other amino acid. With the use of degenerate oligonucleotides, synthetic shuffling provides a direct route from database sequence information to functional libraries. Physical starting genes are unnecessary, and additional design criteria such as optimal codon usage or known beneficial mutations can also be incorporated.