This paper presents a grid-based approach to model molecular association processes as an alternative to sampling-based Markov models. Our method discretizes the six-dimensional space of relative translation and orientation into grid cells. By discretizing the Fokker-Planck operator governing the system dynamics via the square-root approximation, we derive analytical expressions for the transition rate constants between grid cells.
View Article and Find Full Text PDFWheat production is threatened by multiple fungal pathogens, such as the wheat powdery mildew fungus (Blumeria graminis f. sp. tritici, Bgt).
View Article and Find Full Text PDFModern potential energy surfaces have shifted attention to molecular simulations of chemical reactions. While various methods can estimate rate constants for conformational transitions in molecular dynamics simulations, their applicability to studying chemical reactions remains uncertain due to the high and sharp energy barriers and complex reaction coordinates involved. This study focuses on the thermal cis-trans isomerization in retinal, employing molecular simulations and comparing rate constant estimates based on one-dimensional rate theories with those based on sampling transitions and grid-based models for low-dimensional collective variable spaces.
View Article and Find Full Text PDFCommon variable immunodeficiency (CVID) is the most prevalent primary immunodeficiency, marked by hypogammaglobulinemia, poor antibody responses, and increased infection susceptibility. The COVID-19 pandemic provided a unique opportunity to study the effects of prolonged viral infections on the immune responses of CVID patients. Here we use single-cell RNA-seq and spectral flow cytometry of peripheral blood samples before, during, and after SARS-CoV-2 infection showing that COVID-19 CVID patients display a persistent type I interferon signature at convalescence across immune compartments.
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