Computer Folding of Parallel DNA G-Quadruplex: Hitchhiker's Guide to the Conformational Space.

Guanine quadruplexes (GQs) play crucial roles in various biological processes, and understanding their folding pathways provides insight into their stability, dynamics, and functions. This knowledge aids in designing therapeutic strategies, as GQs are potential targets for anticancer drugs and other therapeutics. Although experimental and theoretical techniques have provided valuable insights into different stages of the GQ folding, the structural complexity of GQs poses significant challenges, and our understanding remains incomplete.

Determination of α lamellae orientation in a β-Ti alloy using electron backscatter diffraction.

The spatial orientation of α lamellae in a metastable β-Ti matrix of Timetal LCB (Ti-6.8 Mo-4.5 Fe-1.

Late onset and regional heterogeneity of synaptic deficits in cortical PV interneurons of mice.

Epilepsy and epileptiform patterns of cortical activity are highly prevalent in autism spectrum disorders (ASDs), but the neural substrates and pathophysiological mechanisms underlying the onset of cortical dysfunction in ASD remains elusive. Reduced cortical expression of Parvalbumin (PV) has been widely observed in ASD mouse models and human postmortem studies, suggesting a crucial role of PV interneurons (PVINs) in ASD pathogenesis. mice carrying a Δ13-16 deletion in SHANK3 exhibit cortical hyperactivity during postnatal development and reduced sensory responses in cortical GABAergic interneurons in adulthood.

The relationship between fear of falling and functional ability following a multi-component fall prevention program: an analysis of clinical data.

Objectives: The first objective was to evaluate clinical data from a multi-component fall prevention program. The second objective was to explore the relationship between physical function and fear of falling (FoF).

Methods: Adults (N = 287, mean age = 76 years) who participated in the Building Balance Program between 2011-2020 were assessed with five physical function measures and two FoF measures.

Automatic Learning of Hydrogen-Bond Fixes in the AMBER RNA Force Field.

The capability of current force fields to reproduce RNA structural dynamics is limited. Several methods have been developed to take advantage of experimental data in order to enforce agreement with experiments. Here, we extend an existing framework which allows arbitrarily chosen force-field correction terms to be fitted by quantification of the discrepancy between observables back-calculated from simulation and corresponding experiments.