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Ramirez, R. X.

Publications and source records attributed to Ramirez, R. X..

2 recordsLinked to original sources

Mechanistic Insights into MLKL Activation via Allosteric Pathways Identified Through Molecular Models

The mixed lineage kinase domain-like protein (MLKL) is responsible for plasma membrane (PM) permeabilization during the last stage of necroptosis, a pro-inflammatory programmed cell death pathway. MLKL contains three domains: the pseudokinase domain (PsKD), the brace region, and the four-helical bundle (4HB). Phosphorylation of PsKD at amino acids S345 and S347 is essential for MLKL function as it triggers conformational changes that expose the 4HB and enables protein oligomerization and sub-sequent PM permeabilization. Understanding the molecular mechanisms of this allosteric signal is critical for the rational design of ligands that modulate cell death via necroptosis as terapeutic alternatives for neurodegenerative and inflammatory disorder. We simulated the wild-type, phosphorylated, and mutant MLKL proteoforms to build a Markov state model that revealed three dominant macrostates corresponding to the open, transition, and closed conformations. Hydrogen-bond/Hydrophobic network analysis, with a novel clustering approach, identified a switch in the allosteric path-ways that favors the open state. Based on this model, we identified and tested computationally an MLKL mutant that facilitates 4HB exposure, and could favor protein oligomerization and compromise plasma membrane integrity. We present a comprehensive all-atom molecular dynamics study to characterize the conformational changes that enable exposure of the 4HB at the molecular level.

biophysics↗

2Danalysis: A toolbox for analysis of lipid membranes and biopolymers in two-dimensional space

Molecular simulations expand our ability to learn about the interplay of biomolecules. Biological membranes, composed of diverse lipids with varying physicochemical properties, are highly dynamic environments involved in cellular functions. Proteins, nucleic acids, glycans and bio-compatible polymers are the machinery of cellular processes both in the cytosol and at the lipid membrane interface. Lipid species directly modulate membrane properties, and affect the interaction and function of other biomolecules. Natural molecular diffusion results in changes of local lipid distribution, affecting the membrane properties. Projecting biophysical and structural membrane and biopolymer properties to a two-dimensional plane can be beneficial to quantify molecular signatures in a reduced dimensional space to identify relevant interactions at the interface of interest, i.e. the membrane surface or biopolymer-surface interface. Here, we present a toolbox designed to project membrane and biopolymer properties to a two-dimensional plane to characterize patterns of interaction and spatial correlations between lipid-lipid and lipid-biopolymer interfaces. The toolbox contains two hubs implemented using MDAKits architecture, one for membranes and one for biopolymers, that can be used independently or together. Three case studies demonstrate the versatility of the toolbox with detailed tutorials in GitHub. The toolbox and tutorials will be periodically updated with other functionalities and resolutions to expand our understanding of the structure-function relationship of biomolecules in two-dimensions. SIGNIFICANCE2Danalysis is a significant contribution for the systematic analysis of membrane and biopolymers simulations at planar interfaces. Developed under the open-source MDAKit framework, it enables efficient analysis of trajectories and provides versatile tools for projecting biophysical properties onto a two-dimensional plane. These capabilities enhance the visualization of spatial and temporal changes in membrane characteristics, such as order parameters, and support the study of biopolymer-surface interactions by analyzing adsorption and confinement mechanisms at 2D interfaces. The users can customize the toolbox to study complex 2D phenomena from molecular simulation.

biophysics↗