Structure calculation techniques can be very useful to bridge the gap between available sequence information and structural knowledge. In order to understand the molecular mechanisms behind diseases caused by residue exchanges, knowledge about the modified structure is needed. In this chapter, we describe how energy minimizations and molecular dynamics can be useful tools in order to study the structural effects of sequence variation. With these techniques, together with investigation of other properties, it is often possible to obtain a complete picture of the effect and mechanism behind disease-causing mutations. To take this information one step further, we also describe prediction methods that can be used to judge the effects of mutations and how to evaluate these and the interplay between the protein properties.
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http://dx.doi.org/10.1007/978-1-61779-588-6_14 | DOI Listing |
Am J Emerg Med
January 2025
Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT, USA; Center for Outcomes Research and Evaluation, Yale University, New Haven, CT, USA.
Background: This study aimed to examine how physician performance metrics are affected by the speed of other attendings (co-attendings) concurrently staffing the ED.
Methods: A retrospective study was conducted using patient data from two EDs between January-2018 and February-2020. Machine learning was used to predict patient length of stay (LOS) conditional on being assigned a physician of average speed, using patient- and departmental-level variables.
Otol Neurotol
February 2025
Department of Otolaryngology-Head and Neck Surgery, Mayo Clinic, Rochester, Minnesota.
Objective: To analyze the use of electrical field imaging (EFI) in the detection of extracochlear electrodes in cochlear implants (CI).
Study Design: Retrospective cohort study.
Setting: Tertiary academic medical center.
PLoS One
January 2025
Department of Neurosurgery, Osaka University Graduate School of Medicine, Osaka, Japan.
Background: Glioblastoma is characterized by neovascularization and diffuse infiltration into the adjacent tissue. T2*-based dynamic susceptibility contrast (DSC) MR perfusion images provide useful measurements of the biomarkers associated with tumor perfusion. This study aimed to distinguish infiltrating tumors from vasogenic edema in glioblastomas using DSC-MR perfusion images.
View Article and Find Full Text PDFClin Infect Dis
January 2025
Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Infectious Diseases, Respiratory Medicine and Critical Care, Berlin, Germany.
Background: Existing risk evaluation tools underperform in predicting intensive care unit (ICU) admission for patients with the Coronavirus Disease 2019 (COVID-19). This study aimed to develop and evaluate an accurate and calculator-free clinical tool for predicting ICU admission at emergency room (ER) presentation.
Methods: Data from patients with COVID-19 in a nationwide German cohort (March 2020-January 2023) were analyzed.
Hum Reprod
January 2025
Institute of Genomics, Estonian Genome Centre, University of Tartu, Tartu, Estonia.
Study Question: Do polycystic ovary syndrome (PCOS), menstrual cycle phases, and ovulatory status affect reproductive tract (RT) microbiome profiles?
Summary Answer: We identified microbial features associated with menstrual cycle phases in the upper and lower RT microbiome, but only two specific differences in the upper RT according to PCOS status.
What Is Known Already: The vaginal and uterine microbiome profiles vary throughout the menstrual cycle. Studies have reported alterations in the vaginal microbiome among women diagnosed with PCOS.
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