Ethan D. Evans
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View article: Asymmetric Dirhodium-Catalyzed Modification of Immunomodulatory Imide Drugs and Their Biological Assessment
Asymmetric Dirhodium-Catalyzed Modification of Immunomodulatory Imide Drugs and Their Biological Assessment Open
Cereblon (CRBN) has been successfully co-opted to affect the targeted degradation of "undruggable" proteins with immunomodulatory imide drugs (IMiDs). IMiDs act as molecule glues that facilitate ternary complex formation between CRBN and a…
View article: Balanced Permeability Index: A Multiparameter Index for Improved In Vitro Permeability
Balanced Permeability Index: A Multiparameter Index for Improved In Vitro Permeability Open
The optimization of passive permeability is a key objective for orally available small molecule drug candidates. For drugs targeting the central nervous system (CNS), minimizing P-gp-mediated efflux is an additional important target for op…
View article: Balanced Permeability Index: a multi-parameter index for improved in-vitro permeability
Balanced Permeability Index: a multi-parameter index for improved in-vitro permeability Open
The optimization of passive permeability is a key objective for orally available small molecule drug candidates. For drugs targeting the central nervous system (CNS), minimizing P-gp mediated efflux is an additional important target for op…
View article: High-throughput, single-microbe genomics with strain resolution, applied to a human gut microbiome
High-throughput, single-microbe genomics with strain resolution, applied to a human gut microbiome Open
Characterizing complex microbial communities with single-cell resolution has been a long-standing goal of microbiology. We present Microbe-seq, a high-throughput method that yields the genomes of individual microbes from complex microbial …
View article: <i>Microbe-seq</i>: high-throughput, single-microbe genomics with strain resolution, applied to a human gut microbiome
<i>Microbe-seq</i>: high-throughput, single-microbe genomics with strain resolution, applied to a human gut microbiome Open
We present Microbe-seq , a high-throughput single-microbe method that yields strain-resolved genomes from complex microbial communities. We encapsulate individual microbes into droplets with microfluidics and liberate their DNA, which we a…
View article: Predicting human health from biofluid-based metabolomics using machine learning
Predicting human health from biofluid-based metabolomics using machine learning Open
Biofluid-based metabolomics has the potential to provide highly accurate, minimally invasive diagnostics. Metabolomics studies using mass spectrometry typically reduce the high-dimensional data to only a small number of statistically signi…
View article: Tracking strains predicts personal microbiomes and reveals recent adaptive evolution
Tracking strains predicts personal microbiomes and reveals recent adaptive evolution Open
An individual’s microbiome consists of a diverse set of bacterial strains that encode rich information on its colonization and evolutionary history. Here, we introduce a versatile and straightforward reference-based strain tracking approac…
View article: Conformational Landscape Reduction of a Dynamic 29-Residue Peptide by a Perfluoroaromatic Small Molecule
Conformational Landscape Reduction of a Dynamic 29-Residue Peptide by a Perfluoroaromatic Small Molecule Open
Conformationally dynamic peptides and proteins display both important biochemical properties and present a challenge for computational modeling. Characterizing the accessible structural landscape represents one route to understand their fu…
View article: Conformational Landscape Reduction of a Dynamic 29-Residue Peptide by a Perfluoroaromatic Small Molecule
Conformational Landscape Reduction of a Dynamic 29-Residue Peptide by a Perfluoroaromatic Small Molecule Open
Conformationally dynamic peptides and proteins display both important biochemical properties and present a challenge for computational modeling. Characterizing the accessible structural landscape represents one route to understand their fu…
View article: Longitudinal wastewater sampling in buildings reveals temporal dynamics of metabolites
Longitudinal wastewater sampling in buildings reveals temporal dynamics of metabolites Open
Direct sampling of building wastewater has the potential to enable "precision public health" observations and interventions. Temporal sampling offers additional dynamic information that can be used to increase the informational content of …
View article: Predicting human health from biofluid-based metabolomics using machine learning
Predicting human health from biofluid-based metabolomics using machine learning Open
Processed input data sets as well as output files and trained health state predictive models for human diseases using metabolomics of biofluids. These data are associated with the following manuscript: 'Predicting human health from bioflui…
View article: Predicting human health from biofluid-based metabolomics using machine learning
Predicting human health from biofluid-based metabolomics using machine learning Open
Processed input data sets as well as output files and trained health state predictive models for human diseases using metabolomics of biofluids. These data are associated with the following manuscript: 'Predicting human health from bioflui…
View article: Predicting human health from biofluid-based metabolomics using machine learning
Predicting human health from biofluid-based metabolomics using machine learning Open
Biofluid-based metabolomics enables the profiling of thousands of molecules and has the potential to provide highly accurate, minimally invasive diagnostics for a range of health conditions. However, typical metabolomics studies focus on o…
View article: Longitudinal wastewater sampling in buildings reveals temporal dynamics of metabolites
Longitudinal wastewater sampling in buildings reveals temporal dynamics of metabolites Open
Direct sampling of building wastewater has the potential to enable “precision public health” observations and interventions. Temporal sampling offers additional dynamic information that can be used to increase the informational content of …
View article: Convolutional Neural Network Analysis of Two-Dimensional Hyperfine Sublevel Correlation Electron Paramagnetic Resonance Spectra
Convolutional Neural Network Analysis of Two-Dimensional Hyperfine Sublevel Correlation Electron Paramagnetic Resonance Spectra Open
A machine learning approach is presented for analyzing complex two-dimensional hyperfine sublevel correlation electron paramagnetic resonance (HYSCORE EPR) spectra with the proficiency of an expert spectroscopist. The computer vision algor…
View article: Studies on a landscape of perfluoroaromatic-reactive peptides
Studies on a landscape of perfluoroaromatic-reactive peptides Open
Diverse peptide sequences and folds promote cysteine arylation.
View article: Xenoprotein engineering via synthetic libraries
Xenoprotein engineering via synthetic libraries Open
Significance Combinatorial protein libraries—prepared via molecular biology-based approaches—are invaluable tools for protein engineering. The inclusion of noncanonical amino acids in such libraries is of considerable interest. However, at…
View article: Total synthesis and biochemical characterization of mirror image barnase
Total synthesis and biochemical characterization of mirror image barnase Open
Chemically prepared d-barnase catalyzes hydrolysis of native RNA and appears to be extremely stable to proteolysis.