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The description of peptides and the use of molecular dynamics simulations to refine structures and investigate the dynamics on an atomistic scale are well developed. Through a consensus in this community over multiple decades, parameters were developed for molecular interactions that only require the sequence of amino-acids and an initial guess for the three-dimensional structure. The recent discovery of peptoids will require a retooling of the currently available interaction potentials in order to have the same level of confidence in the predicted structures and pathways as there is presently in the peptide counterparts. Here we present modeling of peptoids using a combination of ab initio molecular dynamics (AIMD) and atomistic resolution classical force field (FF) to span the relevant time and length scales. To properly account for the dominant forces that stabilize ordered structures of peptoids, namely steric-, electrostatic, and hydrophobic interactions mediated through side chain-side chain interactions in the FF model, those have to be first mapped out using high fidelity atomistic representations. A key feature here is not only to use gas phase quantum chemistry tools, but also account for solvation effects in the condensed phase through AIMD. One major challenge is to elucidate ion binding to charged or polar regions of the peptoid and its concomitant role in the creation of local order. Here, similar to proteins, a specific ion effect is observed suggesting that both the net charge and the precise chemical nature of the ion will need to be described.
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http://dx.doi.org/10.1021/acs.jpcb.5b12277 | DOI Listing |
Acta Neuropathol Commun
September 2025
Department of Biomedical and Clinical Sciences and Department of Clinical Pathology, Linköping University, 58185, Linköping, Sweden.
Disruptions in synaptic transmission and plasticity are early hallmarks of Alzheimer's disease (AD). Endosomal trafficking, mediated by the retromer complex, is essential for intracellular protein sorting, including the regulation of amyloid precursor protein (APP) processing. The VPS35 subunit, a key cargo-recognition component of the retromer, has been implicated in neurodegenerative diseases, with mutations such as L625P linked to early-onset AD.
View Article and Find Full Text PDFPhotochem Photobiol Sci
September 2025
Department of Genetics and Plant Breeding, C. P. College of Agriculture, S. D. Agricultural University, Sardarkrushinagar, 385506, India.
The electromobility shift assay (EMSA) is a popular and productive molecular biology tool for studying protein-nucleic acid interactions. EMSA is a technique applied to the revelation of the binding dynamics of proteins, like transcription factors, to DNA or RNA. There are ample essential phases in the technique.
View Article and Find Full Text PDFNat Methods
September 2025
Electron Microscopy Science Technology Platform, The Francis Crick Institute, London, UK.
Volume correlative light and electron microscopy (vCLEM) is a powerful imaging technique that enables the visualization of fluorescently labeled proteins within their ultrastructural context. Currently, vCLEM alignment relies on time-consuming and subjective manual methods. This paper presents CLEM-Reg, an algorithm that automates the three-dimensional alignment of vCLEM datasets by leveraging probabilistic point cloud registration techniques.
View Article and Find Full Text PDFNat Biotechnol
September 2025
Key Laboratory of RNA Innovation, Science and Engineering, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China.
Targeted protein degraders hold potential as therapeutic agents to target conventionally 'undruggable' proteins. Here, we develop a high-throughput screen, DEath FUSion Escaper (DEFUSE), to identify small-molecule protein degraders. By conjugating the protein of interest to a fast-acting triggerable death protein, this approach translates target protein degradation into a cell survival phenotype to illustrate the presence of degraders.
View Article and Find Full Text PDFCommun Chem
September 2025
Department of Chemistry and Biochemistry, The University of Texas at Dallas, Richardson, TX, USA.
Promiscuity, or selectivity on a spectrum, is an encoded feature in biomolecular anion recognition. To unravel the molecular drivers of promiscuous anion recognition, we have employed a comprehensive approach - spanning experiment and theory - with the Staphylococcus carnosus nitrate regulatory element A (ScNreA) as a model. Thermodynamic analysis reveals that ScNreA complexation with native nitrate and nitrite or non-native iodide is an exothermic process.
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