Biology subjects

Essex, J. W.

Publications and source records attributed to Essex, J. W..

5 recordsLinked to original sources

bioRxiv2025

Atom-level mechanism of tapasin-independent peptide editing by Major Histocompatibility Complex class I molecules

Peptide binding to major histocompatibility complex class I molecules (MHC-I) and their presentation to cytotoxic immune cells is a keystone of the adaptive immune system. The selection of MHC-I bound peptides is facilitated by the chaperone tapasin, which allows MHC-I to iteratively sample peptides until they are loaded with optimal binding peptides, known as peptide editing. However, some MHC-I allotypes can select high affinity binding peptides independently of tapasin, and the molecular mechanism(s) for such peptide editing are unknown. Here, we used enhanced sampling molecular dynamics simulations of peptide-deficient MHC-I to investigate tapasin-independent peptide editing. Our simulations revealed transient disruption of hydrogen bonds between MHC-I and the peptide backbone could allow for peptide editing, a process we term "active displacement". Destabilisation of interactions with the peptide backbone, necessitates sequence-specific sidechain interactions to maintain peptide binding. Our active displacement model predicts surface expression levels for multiple MHC-I allotypes and accounts for the presentation of an immunogenic mutant KRAS-G12D neoepitope by HLA-C*08:02, but not by closely related HLA-C*05:01. Together our data provide a molecular mechanism for tapasin-independent MHC-I peptide editing, influencing the surface immunopeptidome and anti-tumour immunity. Significance StatementMajor histocompatibility complex class I molecules (MHC-I) bind and present peptides to specialised killer cells of the immune system. These immune cells can unleash their cytotoxic effector functions if they recognise the peptide-MHC-I complex. Which peptides are presented by MHC-I is therefore highly important. Peptide selection is usually assisted by the tapasin protein, although some MHC-I molecules can select peptides independently of tapasin, but it is not known how this occurs. Here, we provide an atomistic description of the tapasin-independent peptide selection mechanism. Our mechanism applies to multiple MHC-I allotypes and illustrates how an immunogenic peptide is presented by one MHC-I molecule, but not by another closely related molecule. This new insight provides a rational basis for therapeutic treatments.

immunology↗

bioRxiv2025

Atomistic modelling of lysophospholipids from the Campylobacter jejuni lipidome

Lysophospholipids are an important class of lipids in both prokaryotic and eukaryotic organisms. These lipids typically constitute a very small proportion (<1%) of the bacterial lipidome, but can constitute 20-45% of the Campylobacter jejuni lipidome under stress conditions. It is thus of importance to include these lipids in model C. jejuni membrane simulations for an accurate representation of the lipidic complexity of these systems. Here, we present atomistic models for four lysophospholipids from the C. jejuni lipidome, each derived from existing phospholipid models. Herein we use molecular dynamics simulations to evaluate the ability of these models to reproduce the expected micellar, hexagonal, and lamellar phases at varying levels of hydration. Mixtures of phospholipids and lysophospholipids emulating the C. jejuni lipidome under ideal growth conditions were found to self-assemble into bilayers in solution. The properties of these mixed bilayers were compared to those containing only phospholipids: the presence of the selected lysophospholipids causes a subtle thinning of the bilayer and a reduction in area per lipid, but no significant change in lipid diffusion. We further test the mixed bilayer model running simulations in which a native inner membrane protein is embedded within the bilayer. Finally, we show that lysophospholipids facilitate the formation of pores in the membrane, with lysophospholipid-containing bilayers more susceptible to electroporation than those containing only phospholipids.

biochemistry↗

bioRxiv2021

Enhancing Sampling of Water Rearrangements on Ligand Binding: A Comparison of Techniques

1Water often plays a key role in protein structure, molecular recognition, and mediating protein-ligand interactions. Thus, free energy calculations must adequately sample water motions, which often proves challenging in typical MD simulation timescales. Thus, the accuracy of methods relying on MD simulations ends up limited by slow water sampling. Particularly, as a ligand is removed or modified, bulk water may not have time to fill or rearrange in the binding site. In this work, we focus on several molecular dynamics (MD) simulation-based methods attempting to help rehydrate buried water sites: BLUES, using nonequilibrium candidate Monte Carlo (NCMC); grand, using grand canonical Monte Carlo (GCMC); and normal MD. We assess the accuracy and efficiency of these methods in rehydrating target water sites. We selected a range of systems with varying numbers of waters in the binding site, as well as those where water occupancy is coupled to the identity or binding mode of the ligand. We analyzed rehydration of buried water sites in binding pockets using both clustering of trajectories and direct analysis of electron density maps. Our results suggest both BLUES and grand enhance water sampling relative to normal MD and grand is more robust than BLUES, but also that water sampling remains a major challenge for all of the methods tested. The lessons we learned for these methods and systems are discussed.

biophysics↗

bioRxiv2020

The Automated Optimisation of a Coarse-Grained Force Field Using Free Energy Data

Atomistic models provide a detailed representation of molecular systems, but are sometimes inadequate for simulations of large systems over long timescales. Coarse-grained models enable accelerated simulations by reducing the number of degrees of freedom, at the cost of reduced accuracy. New optimisation processes to parameterise these models could improve their quality and range of applicability. We present an automated approach for the optimisation of coarse-grained force fields, by reproducing free energy data derived from atomistic molecular simulations. To illustrate the approach, we implemented hydration free energy gradients as a new target for force field optimisation in ForceBalance and applied it successfully to optimise the un-charged side-chains and the protein backbone in the SIRAH protein coarse-grain force field. The optimised parameters closely reproduced hydration free energies of atomistic models and gave improved agreement with experiment.

biophysics↗

bioRxiv2018

Prediction of the closed conformation and insights into the mechanism of the membrane enzyme LpxR

Covalent modification of outer membrane lipids of Gram-negative bacteria can impact the ability of the bacterium to develop resistance to antibiotics as well as modulating the immune response of the host. The enzyme LpxR from Salmonella typhimurium is known to deacylate lipopolysaccharide molecules of the outer membrane, however the mechanism of action is unknown. Here we employ Molecular Dynamics and Monte Carlo simulations to study the conformational dynamics and substrate binding of LpxR in representative outer membrane models and also detergent micelles. We examine the roles of conserved residues and provide an understanding of how LpxR binds its substrate. Our simulations predict that the catalytic H122 must be N{varepsilon}-protonated for a single water molecule to occupy the space between it and the scissile bond, with a free binding energy of -8.5 kcal mol-1. Furthermore, simulations of the protein within a micelle enable us to predict the structure of the putative closed protein. Our results highlight the need for including dynamics, a representative environment and the consideration of multiple tautomeric and rotameric states of key residues in mechanistic studies; static structures alone do not tell the full story.

biophysics↗