Articles in 2023

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  • Here, the authors use cryo-EM to capture nine intermediates along the DNA proofreading pathway using human mitochondrial DNA Polymerase Gamma. The results provide a step-by-step view of the DNA proofreading at single-nucleotide resolution.

    • Gina Buchel
    • Ashok R. Nayak
    • Dmitry Temiakov
    ArticleOpen Access
  • Screening mutated proteins is a versatile strategy in protein research, producing massive datasets when combined with NGS. Here, authors present ACIDES to estimate mutated protein fitness and aid protein engineering pipelines in a range of applications, including gene therapy.

    • Takahiro Nemoto
    • Tommaso Ocari
    • Ulisse Ferrari
    ArticleOpen Access
  • Targeting gluten antigens presents a plausible therapy option for celiac disease. Here the authors generate and characterize a broadly neutralizing antibody recognizing more than 25 gluten peptide:HLA-DQ2.5 complexes, with structural analyses implicating its mode of interaction, and with mouse in vivo studies supporting its therapeutic feasibility.

    • Yuu Okura
    • Yuri Ikawa-Teranishi
    • Tomoyuki Igawa
    ArticleOpen Access
  • At the microscopic level, the localized spins arise due to the electron-electron interactions. Here, the authors show how a topological phase of the Haldane spin chain emerges in a two-orbital Hubbard model with increasing interaction strength.

    • A. Jażdżewska
    • M. Mierzejewski
    • J. Herbrych
    ArticleOpen Access
  • COVID-19 can be associated with neurological complications. Here the authors show that markers of brain injury, but not immune markers, are elevated in the blood of patients with COVID-19 both early and months after SARS-CoV-2 infection, particularly in those with brain dysfunction or neurological diagnoses.

    • Benedict D. Michael
    • Cordelia Dunai
    • David K. Menon
    ArticleOpen Access
  • The design of multifunctional platforms with tunable spectroscopic and fluorescent properties that span the ultraviolet, visible, and near-infrared spectral regions remains challenging. Here, the authors report an actuator-type system that leverages a readily-prepared, easily-processable, and exceptionally-stable nonacene-like molecule to achieve multiple complementary dynamic operating modes.

    • Preeta Pratakshya
    • Chengyi Xu
    • Alon A. Gorodetsky
    ArticleOpen Access
  • Directing group strategies have been used extensively in C–H activation reactions but current methods rely heavily on coordination with nitrogen or oxygen atoms in molecules and have therefore been found to exhibit limited generality in asymmetric syntheses. Here, the authors report enantioselective C–H activation with unsaturated hydrocarbons directed by phosphorus centres to rapidly construct libraries of axially chiral phosphines through dynamic kinetic resolution.

    • Zexian Li
    • Minyan Wang
    • Zhuangzhi Shi
    ArticleOpen Access
  • How physiological memories are encoded is not fully understood. Here the authors show how physiological memories of aversive and appetitive experience are represented by corticotropin-releasing hormone synthesizing neurons in the paraventricular nucleus of the hypothalamus and demonstrate that behavioral readouts may not accurately reflect physiological changes invoked by the memory of salient experiences.

    • Tamás Füzesi
    • Neilen P. Rasiah
    • Jaideep S. Bains
    ArticleOpen Access
  • Hepatic insulin resistance plays a central role in metabolic syndrome. Here, the authors show that transcription factor BACH1 acts as a negative regulator of insulin signaling and that hepatic BACH1 deficiency ameliorates hyperglycemia and insulin resistance in high-fat diet-fed or diabetic mice

    • Jiayu Jin
    • Yunquan He
    • Dan Meng
    ArticleOpen Access
  • Calculations of relative binding free energy are crucial for lead optimization in structure-based drug design, but classical methods are computationally expensive. Here, the authors describe a more efficient method for calculating the free energy that is as accurate as thermodynamic integration.

    • Michael T. Robo
    • Ryan L. Hayes
    • Jonah Z. Vilseck
    ArticleOpen Access
  • Existing feature visualisation methods are not well-suited for regression tasks. Here, authors introduce a method to learn the manifold topology related to deep neural network output and target labels and provide insightful visualisations of the high-dimensional features while preserving the local geometry.

    • Md Tauhidul Islam
    • Zixia Zhou
    • Lei Xing
    ArticleOpen Access