Biology subjects

Slusky, J.

Publications and source records attributed to Slusky, J..

4 recordsLinked to original sources

bioRxiv2026

N-Zinclopedia: A database of predicted transition metal-binding sites and metalloenzymes

Metal ions are among the most common enzymatic cofactors, yet metal utilization remains poorly mapped. Here, we present N-Zinclopedia, an atlas of predicted transition metal-binding sites and candidate metalloenzymes across protein fold space. N-Zinclopedia catalogs protein sites compatible with transition metal coordination, identified using ZincSight screening of protein structure model databases. We focused on previously uncharacterized domains and proteins, screening for transition metal-binding sites within over a million of these, spanning both poorly annotated and canonical folds. We also classified the predicted sites, using MAHOMES-II, as candidate catalytic or non-catalytic metal-binding sites. Experimental characterization of a previously unknown zinc binding site confirms that ZincSight can determine previously un-annotated zinc binding. N-Zinclopedia significantly expands the known landscape of metal utilization, providing numerous predictions that await experimental examination. N-Zinclopedia is available at: https://bentallab.github.io/nzinclopedia.

bioinformatics↗

bioRxiv2026

Counting strands in outer membrane beta-barrels

Beta-barrel structures are critical components of bacterial outer membranes, where they facilitate transport, cell signaling, antibiotic resistance, and structural integrity. A key feature of beta-barrels is their strand count, which influences pore diameter, binding site locations, and functional properties. However, because of breaks in strands and the presence of strands in periplasmic domains and plug domains, manual counting is inefficient and current algorithms do not accurately determine barrel strand count. To address this, we refined our previous beta-barrel structural assessment tool, PolarBearal, to improve strand number identification in large-scale datasets. To enhance the accuracy of barrel strand number labeling, our updated algorithm integrates three structural criteria, namely inter-residue vector angles, hydrogen-bonding distances, and strand connectivity. Using this algorithm, we labeled strand numbers for 571,760 predicted outer membrane beta-barrel structures obtained from the AlphaFold2 database. Our algorithm has 97% accuracy in strand number assignments, and the resulting dataset facilitates assessment of the homogeneity of strand counts for different types of outer membrane proteins. The strand labeling also provides insights on beta-barrel strand distribution and evolutionary patterns, supporting further research in protein structure prediction and design. SignificanceThis work contributes an accurate, automated method for counting beta-barrel strands in bacterial outer membrane proteins. Methodological ImpactThe algorithm achieves 97% accuracy in strand counting, solving a technical problem that has hindered large-scale structural analysis. Previous manual methods were inefficient, and existing algorithms failed to handle the structural complexities of real beta-barrel proteins, including strand breaks and additional domains. Scale of ContributionBy annotating over 571,000 predicted structures from the AlphaFold2 database, this work represents the largest systematic characterization of beta-barrel strand distributions to date. This labeled dataset provides a resource for the structural biology community. Broader ApplicationsThis tool enables researchers understand structure-function relationships in outer membrane proteins, supporting advances in protein design, drug development targeting bacterial membranes.

bioinformatics↗

bioRxiv2018

Evolution of Environmentally-Enforced, Repeat Protein Topology in the Outer Membrane

Outer membrane beta barrels (OMBBs) are the proteins on the surface of Gram negative bacteria. These proteins have diverse functions but only a single topology, the beta barrel. It has been suggested that this common fold is a repeat protein with the repeating unit of a beta hairpin. By grouping structurally solved OMBBs by sequence, a detailed evolutionary story unfolds. A strand-number based pathway manifests with progression from a primordial 8-stranded barrel to 16-stranded and then to 18-stranded barrels. The transitions from 16- to 18-stranded barrels show mechanisms of strand number variation without domain duplication, such as a loop to hairpin transition. This indicates that repeat protein topology can be perpetuated without genetic duplication likely because the topology is being enforced by the membrane environment. Moreover, we find the evolutionary trace is particularly prominent in the C-terminal half of OMBBs which may be relevant to understanding OMBB folding pathways.

biophysics↗

bioRxiv2018

Tight Turns of Outer Membrane Proteins: An Analysis of Sequence, Structure, and Hydrogen Bonding

I.As a structural class, tight turns can control molecular recognition, enzymatic activity, and nucleation of folding. They have been extensively characterized in soluble proteins but have not been characterized in outer membrane proteins (OMPs), where they also support critical functions. We clustered the 4-6 residue tight turns of 110 OMPs to characterize the phi/psi angles, sequence, and hydrogen bonding of these structures. We find significant differences between reports of soluble protein tight turns and OMP tight turns. Since OMP strands are less twisted than soluble strands they favor different turn structures types. Moreover, the membrane localization of OMPs yields different sequence hallmarks for their tight turns relative to soluble protein turns. We also characterize the differences in phi/psi angles, sequence, and hydrogen bonding between OMP extracellular loops and OMP periplasmic turns. As previously noted, the extracellular loops tend to be much longer than the periplasmic turns. We find that this difference in length is due to the broader distribution of lengths of the extracellular loops not a large difference in the median length. Extracellular loops also tend to have more charged residues as predicted by the charge-out rule. Finally, in all OMP tight turns, hydrogen bonding between the sidechain and backbone two to four residues away plays an important role. These bonds preferentially use an Asp, Asn, Ser or Thr residue in a beta or pro phi/psi conformation. We anticipate that this study will be applicable to future design and structure prediction of OMPs.

biophysics↗