Publications by authors named "D H Kern"

Importance: Clinician-guided online self-help based on cognitive behavioral therapy (CBT) has been shown to be effective at decreasing symptom severity for people with atopic dermatitis (AD). A brief online self-guided CBT intervention could be more cost-effective and allow for easy implementation and broader outreach compared with more comprehensive clinician-guided interventions.

Objective: To investigate whether a brief online self-guided CBT intervention is noninferior to a comprehensive online clinician-guided CBT treatment.

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Background: Women make up only 23% to 30% of recipients for deep brain stimulation (DBS) surgery for Parkinson's disease (PD), a discrepancy that is not accounted for by differences in disease incidence. One of the many factors that may contribute to this gap includes gender differences in decision-making.

Objective: The aim was to explore how women and men approach the decision for DBS in terms of informational needs, weighing risks and benefits, and decision-making.

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Transcranial focused ultrasound (FUS) is a versatile, MR-guided, incisionless intervention with diagnostic and therapeutic applications for neurologic and psychiatric diseases. It is currently FDA-approved as a thermoablative treatment of essential tremor and Parkinson disease. However, other applications of FUS including BBB opening for diagnostic and therapeutic applications, sonodynamic therapy, histotripsy, and low-intensity focused ultrasound neuromodulation are all in clinical trials.

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How can a single protein domain encode a conformational landscape with multiple stably folded states, and how do those states interconvert? Here, we use real-time and relaxation-dispersion NMR to characterize the conformational landscape of the circadian rhythm protein KaiB from . Unique among known natural metamorphic proteins, this KaiB variant spontaneously interconverts between two monomeric states: the "Ground" and "Fold-switched" (FS) states. KaiB in its FS state interacts with multiple binding partners, including the central KaiC protein, to regulate circadian rhythms.

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Protein language models (pLMs) have emerged as potent tools for predicting and designing protein structure and function, and the degree to which these models fundamentally understand the inherent biophysics of protein structure stands as an open question. Motivated by a finding that pLM-based structure predictors erroneously predict nonphysical structures for protein isoforms, we investigated the nature of sequence context needed for contact predictions in the pLM Evolutionary Scale Modeling (ESM-2). We demonstrate by use of a "categorical Jacobian" calculation that ESM-2 stores statistics of coevolving residues, analogously to simpler modeling approaches like Markov Random Fields and Multivariate Gaussian models.

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