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Intrinsically disordered proteins (IDPs) are important for health and disease, yet their lack of net structure precludes an understanding of their function using classical methods. Gas-phase techniques provide a promising alternative to access information on the structure and dynamics of IDPs, but the fidelity to which these methods reflect the solution conformations of these proteins has been difficult to ascertain. Here we use state of the art ensemble techniques to investigate the solution to gas-phase transfer of a range of different IDPs. We show that IDPs undergo a vast conformational space expansion in the absence of solvent to sample a conformational space 3-5 fold broader than in solution. Moreover, we show that this process is coupled to the electrospray ionization process, which brings about the generation of additional subpopulations for these proteins not observed in solution due to competing effects on protein charge and shape. Ensemble methods have permitted a new definition of the solution to gas-phase transfer of IDPs and provide a roadmap for future investigations into flexible systems by mass spectrometry.
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http://dx.doi.org/10.1021/jacs.5b06027 | DOI Listing |
J Org Chem
September 2025
Department of Chemistry and Chemical Biology Rutgers, The State University of New Jersey, New Brunswick, New Jersey 08901 United States.
Nucleophilic aromatic substitution (SAr) reactions are widely used and are of great utility in synthesis. In this article, we report an unexpected apparent gas phase SAr reaction between (4-substituted-phenyl)dimethylsilyl cations and their neutral counterparts. This type of reaction, where the dimethyl(phenyl)silyl cation donates a methide to an aryl ring, has not heretofore been observed in either the gas phase or in solution.
View Article and Find Full Text PDFJ Chem Theory Comput
September 2025
Department of Chemical & Petroleum Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, United States.
Discovering chemical reaction pathways using quantum mechanics is impractical for many systems of practical interest because of unfavorable scaling and computational cost. While machine learning interatomic potentials (MLIPs) trained on quantum mechanical data offer a promising alternative, they face challenges for reactive systems due to the need for extensive sampling of the potential energy surface in regions that are far from equilibrium geometries. Unfortunately, traditional MLIP training protocols are not designed for comprehensive reaction exploration.
View Article and Find Full Text PDFChem Commun (Camb)
September 2025
Anhui Laboratory of Molecule-Based Materials, Key Laboratory of Functional Molecular Solids, Ministry of Education, School of Chemistry and Materials Science, Anhui Normal University, Wuhu 241002, China.
Gas-phase polymerization is typically employed for the synthesis of high-molecular-weight crystalline polyolefin materials, yet the production of low-molecular-weight hyperbranched ethylene oligomers this method is seldom reported. In this study, we utilized flexible bulky iminopyridyl Pd(II) catalysts to catalyze the gas-phase oligomerization of ethylene, resulting in the preparation of hyperbranched ethylene oligomers. These catalysts demonstrated higher activity and stability comparable to those observed in solution polymerization, yielding hyperbranched ethylene oligomers with lower branching density and higher molecular weights.
View Article and Find Full Text PDFJ Phys Chem B
August 2025
Department of Chemistry, Sapienza University of Rome, 00185 Rome, Italy.
Low-energy solvated electrons can be captured by nitrogenous bases and localized on the nucleic acid to form a stable anion. The interaction between electrons and the bases is related to alterations in the stability and function of nucleic acids. Here, we report the theoretical-computational estimates of the adiabatic electron affinities (AEAs) and the reduction potentials of the nucleobases in solution.
View Article and Find Full Text PDFPhys Chem Chem Phys
August 2025
Global Institute of Future Technology, Shanghai Jiao Tong University, Shanghai 200240, China.
Chemical vapor deposition (CVD) has emerged as a scalable route for preparing high-quality, large-area two-dimensional (2D) materials. However, achieving reproducible control over film morphology, crystalline quality and yield remains challenging due to the cascade of coupled atomic-scale events. In this review, guided by scientific questions and from an atomistic-simulation perspective, we elucidate the fundamental scientific challenges and the corresponding computational strategies faced in each stage of 2D material CVD.
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