Biology subjects

Barringer, R.

Publications and source records attributed to Barringer, R..

3 recordsLinked to original sources

bioRxiv2026

Porphyrin driven redox tuning in structurally defined de novo heme proteins

Designing redox proteins with predictable and tuneable electron transfer properties is a major goal in de novo bioenergetics. Here we show that replacing heme B with a series of structurally conservative non-natural metalloporphyrins enables broad modulation of redox potentials over 400 mV in the de novo designed monoheme m4D2 and diheme 4D2 T19D. The non-natural porphyrins bind with high affinity and do not compromise either the heme binding site or global protein structure, as evidenced by X-ray crystallography and NMR spectroscopy. We also report the native-like NMR structure of m4D2 loaded with the non-natural and symmetric iron 2,4-dimethyldeuteroporphyrin IX, confirming our modular approach to tetrahelical redox protein design. This work establishes a versatile platform for constructing tuneable electron carriers for engineered bioenergetic pathways and bioelectronic applications.

biochemistry↗

bioRxiv2025

A global survey of intramolecular isopeptide bonds

Many protein domains harbour covalent intramolecular bonds that enhance their stability and resistance to thermal, mechanical and proteolytic insults. Intramolecular isopeptide bonds represent one such covalent interaction, yet their distribution across protein domains and organisms has been largely unexplored. Here, we sought to address this by employing a large-scale prediction of intramolecular isopeptide bonds in the AlphaFold database using the structural template-based software Isopeptor. Our findings reveal an extensive phyletic distribution in surface proteins resembling fibrillar adhesins and pilins. All identified intramolecular isopeptide bonds are found in two structurally distinct folds, CnaA-like or CnaB-like, from a relatively small set of related Pfam families, including ten novel families that we predict to contain intramolecular isopeptide bonds. One CnaA-like domain of unknown function, DUF11 (renamed here to "CLIPPER") is broadly distributed in cell-surface proteins from Gram-positive bacteria, Gram-negative bacteria, and archaea, and is structurally and biophysically characterised in this work. Using X-ray crystallography, we resolve a CLIPPER domain from a Gram-negative fibrillar adhesin that contains an intramolecular isopeptide bond and further demonstrate that it imparts thermostability and resistance to proteolysis. Our findings demonstrate the extensive distribution of intramolecular isopeptide bond-containing protein domains in nature, and structurally resolve the previously cryptic CLIPPER domain.

bioinformatics↗

bioRxiv2024

Isopeptor: a tool for detecting intramolecular isopeptide bonds in protein structures

MotivationIntramolecular isopeptide bonds contribute to the structural stability of proteins, and have primarily been identified in domains of bacterial fibrillar adhesins and pili. At present, there is no systematic method available to detect them in newly determined molecular structures. This can result in mis-annotations and incorrect modelling. ResultsHere, we present Isopeptor, a computational tool designed to predict the presence of intramolecular isopeptide bonds in experimentally determined structures. Isopeptor utilizes structure-guided template matching via the Jess software, combined with a logistic regression classifier that incorporates Root Mean Square Deviation (RMSD) and relative solvent accessible area (rASA) as key features. The tool demonstrates a recall of 1.0 and a precision of 0.95 when tested on a Protein Data Bank (PDB) subset of domains known to contain intramolecular isopeptide bonds that have been deposited with incorrectly modelled geometries. Isopeptors python-based implementation supports integration into bioinformatics workflows, enabling early detection and prediction of isopeptide bonds during protein structure modelling. Availability and implementationIsopeptor is implemented in python and can be accessed via the command line, through a python API or via a Google Colaboratory implementation (https://colab.research.google.com/github/FranceCosta/Isopeptor_development/blob/main/notebooks/Isopeptide_finder.ipynb). Source code is hosted on GitHub (https://github.com/FranceCosta/isopeptor) and can be installed via the python package installation manager PIP.

bioinformatics↗