Biology subjects

Jernigan, R.

Publications and source records attributed to Jernigan, R..

3 recordsLinked to original sources

bioRxiv2024

Evaluation of enzyme activity predictions for variants of unknown significance in Arylsulfatase A

Continued advances in variant effect prediction are necessary to demonstrate the ability of machine learning methods to accurately determine the clinical impact of variants of unknown significance (VUS). Towards this goal, the ARSA Critical Assessment of Genome Interpretation (CAGI) challenge was designed to characterize progress by utilizing 219 experimentally assayed missense VUS in the Arylsulfa-tase A (ARSA) gene to assess the performance of community-submitted predictions of variant functional effects. The challenge involved 15 teams, and evaluated additional predictions from established and recently released models. Notably, a model developed by participants of a genetics and coding bootcamp, trained with standard machine-learning tools in Python, demonstrated superior performance among sub-missions. Furthermore, the study observed that state-of-the-art deep learning methods provided small but statistically significant improvement in predictive performance compared to less elaborate techniques. These findings underscore the utility of variant effect prediction, and the potential for models trained with modest resources to accurately classify VUS in genetic and clinical research.

genetics↗

bioRxiv2020

New Structural Insights into the Function of the Catalytically Active Human Taspase1

Proteases can play essential roles in severe human pathology, ranging from degenerative and inflammatory illnesses to infectious diseases, with some, such as Taspase1, involved in growth and progression of tumors at primary and metastatic sites. Taspase1 is a N-terminal nucleophile (Ntn)-hydrolase overexpressed in primary human cancers, coordinating cancer cell proliferation, invasion, and metastasis. Loss of Taspase1 activity disrupts proliferation of human cancer cells in vitro and in mouse xenograft models of glioblastoma, thus this protein has the potential to become a novel anticancer drug target. It belongs to the family of Ntn-hydrolases, a unique family of proteins synthesized as enzymatically inactive proenzymes that become activated upon cleavage of the peptide bond on the N-terminal side of a threonine residue, which then becomes the catalytic site nucleophile. The activation process simultaneously changes the conformation of a long domain at the C-terminus of the alpha-subunit for which no full-length structural information exists and its function is poorly understood. Here we present a novel cloning strategy to generate a fully active, circularly permuted form of Taspase1 to determine the crystallographic structure of catalytically active human Taspase1 to 3.04[A]. We discovered that this region forms a long helical domain and is indispensable for the catalytic activity of Taspase1. Together, our study highlights the importance of this element for the enzymatic activity of Ntn-hydrolases and suggests that this long domain could be a novel target for the design of inhibitors with the potential to be developed into anticancer therapeutics.

biochemistry↗

bioRxiv2020

Direct Observation of the Mechanism of Antibiotic Resistance by Mix-and-Inject at the European XFEL

In this study, we follow the diffusion and buildup of occupancy of the substrate ceftriaxone in M. tuberculosis {beta}-lactamase BlaC microcrystals by structural analysis of the enzyme substrate complex at single millisecond time resolution. We also show the binding and the reaction of an inhibitor, sulbactam, on a slower millisecond time scale. We use the mix-and-inject technique to initiate these reactions by diffusion, and determine the resulting structures by serial crystallography using ultrafast, intense X-ray pulses from the European XFEL (EuXFEL) arriving at MHz repetition rates. Here, we show how to use the EuXFEL pulse structure to dramatically increase the size of the data set and thereby the quality and time resolution of "molecular movies" which unravel ligand binding and enzymatically catalyzed reactions. This shows the great potential for the EuXFEL as a tool for biomedically relevant research, particularly, as shown here, for investigating bacterial antibiotic resistance. One Sentence SummaryDirect observation of fast ligand binding in a biomedically relevant enzyme at near atomic resolution with MHz X-ray pulses at the European XFEL.

biophysics↗