Serina L. Robinson

EnZight identifies and prioritizes substitution hotspots in enzymes using structural alignment, demonstrating effectiveness in improving catalytic activity and thermostability.

This study identifies laccase-coding genes in human gut microbiomes and demonstrates their ability to degrade fluorinated compounds from food and industry.

This study investigates bidirectional interactions between fluorinated chemicals and gut microbiota using ex vivo, in vitro, and in silico methods, revealing microbial biotransformation and potential detoxification effects.

Random forest predictors PARAS and PARASECT, trained on 3,653 curated adenylation domains, outperform earlier NRPS substrate predictors and correctly assigned L-Trp to an unusual tryptopeptin synthetase domain.

The paper develops an enzyme-level benchmark using bacterial laccases to predict the biotransformation of trace organic contaminants in water.

This study identifies bacteria that inhibit different Legionella species, showing variable inhibition patterns and highlighting the role of biosurfactants like viscosin produced by Pseudomonas lurida.

This paper discovers that human gut microbes can cleave carbon-fluorine bonds using defluorinases, identifies structural features predictive of this activity, and develops a screening assay for detecting such enzymes.

The paper identifies chemical and amino acid features predictive of arylamidase biotransformation of micropollutants using machine learning and enzyme characterization.

This study investigates the effects of treated wastewater on stream biofilm resistomes, identifying a new planctomycete beta-lactamase that is functionally active despite low sequence similarity to known ARGs.

This study identifies substrate promiscuity in DEET hydrolases from stream biofilms exposed to treated wastewater, showing broad enzymatic activity across multiple contaminants.