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Meigooni, M.

Publications and source records attributed to Meigooni, M..

3 recordsLinked to original sources

Role of stereochemistry on electron transport in peptides

Stereochemistry underlies structure-function relationships across biology and materials science, ranging from proteins to electronic and spintronic materials. In this work, we investigate the electron transport properties of different oligopeptide stereoisomers using experiments and computational modeling. Single-molecule electronic experiments show that stereochemical modifications in tyrosine-based peptides lead to significant variations in molecular conductance along the peptide backbone due to enhanced stacking interactions and electronic coupling of aromatic side chains. In addition, stereochemical variations in alanine-based peptides give rise to changes in conductivity due to secondary structure interactions arising from {beta}-turn conformations. All-atom molecular dynamics (MD) simulations and quantum mechanical calculations are used to understand the molecular origins of the effect of stereochemistry on the structural and electronic properties of peptides. Overall, this work shows that stereochemical modification of non-terminal amino acids effectively controls electron transport due to aromatic side chain interactions or secondary structure effects. These insights open new avenues for the molecular design of peptide-based electronic materials with enhanced function.

biophysics↗

Secondary structure determines electron transport in peptides

Proteins play a key role in biological electron transport, but the structure-function relationships governing the electronic properties of peptides are not fully understood. Despite recent progress, understanding the link between peptide conformational flexibility, hierarchical structures, and electron transport pathways has been challenging. Here, we use single-molecule experiments, molecular dynamics (MD) simulations, non-equilibrium Greens function-density functional theory (NEGF-DFT) calculations, and unsupervised machine learning to understand the role of primary amino acid sequence and secondary structure on charge transport in peptides. Our results reveal a two-state molecular conductance behavior for peptides across several different amino acid sequences. MD simulations and Gaussian mixture modeling are used to show that this two-state molecular conductance behavior arises due to the conformational flexibility of peptide backbones, with a high-conductance state arising due to a more defined secondary structure (beta turn) and a low-conductance state occurring for extended peptide structures. Conformer selection for the peptide structures is rationalized using principal component analysis (PCA) of intramolecular hydrogen bonding distances along peptide backbones. Molecular conformations from MD simulations are used to model charge transport in NEGF-DFT calculations, and the results are in reasonably good agreement with experiments. Projected density of states (PDOS) calculations and molecular orbital visualizations are further used to understand the role of amino acid side chains on transport. Overall, our results show that secondary structure plays a key role in electron transport in peptides, which provides new avenues for understanding the electronic properties of longer peptides or proteins. Significance StatementElectron transport in proteins serves as a biological power line that fuels cellular activities such as respiration and photosynthesis. Within cells, proteins act as conduits, shuttling electrons through a series of reactions and pathways to generate proton gradients and to fuel ATP synthesis. Despite recent progress, the mechanisms underlying the flow of energy in protein complexes are not fully understood. Here, we study electron transport in peptides at the single-molecule level by combining experiments and molecular modeling. Our results reveal two distinct molecular sub-populations underlying electron transport that arise due to the flexibility of peptide backbones and the ability to fold into compact structures. This work provides a basis for understanding energy flow in larger proteins or biomolecular assemblies.

biophysics↗

Aβ(1-42) tetramer and octamer structures reveal edge pores as a mechanism for membrane damage

The formation of amyloid-beta (A{beta}) oligomer pores in the membrane of neurons has been proposed as the means to explain neurotoxicity in Alzheimers disease (AD). It is therefore critical to characterize A{beta} oligomer samples in membrane-mimicking environments. Here we present the first three-dimensional structure of an A{beta} oligomer formed in dodecyl phosphocholine (DPC) micelles, namely an A{beta}(1-42) tetramer. It comprises a {beta}-sheet core made of six {beta}-strands, connected by only two {beta}-turns. The two faces of the {beta}-sheet core are hydrophobic and surrounded by the membrane-mimicking environment. In contrast, the edges of the core are hydrophilic and are solvent-exposed. By increasing the concentration of A{beta}(1-42), we prepared a sample enriched in A{beta}(1-42) octamers, formed by two A{beta}(1-42) tetramers facing each other forming a {beta}-sandwich structure. Notably, samples enriched in A{beta}(1-42) tetramers and octamers are both active in lipid bilayers and exhibit the same types of pore-like behaviour, but they show different occurrence rates. Remarkably, molecular dynamics simulations showed a new mechanism of membrane disruption in which water and ion permeation occurred through lipid-stabilized pores mediated by the hydrophilic residues located on the core {beta}-sheets edges of the A{beta}(1-42) tetramers and octamers.

biophysics↗