The rise of the computer as a powerful tool for model building and refinement has revolutionized the field of structure determination for large biomolecular systems. Despite the wide availability of robust experimental methods capable of resolving structural details across a range of spatiotemporal resolutions, computational hybrid methods have the unique ability to integrate the diverse data from multimodal techniques such as X-ray crystallography and electron microscopy into consistent, fully atomistic structures. Here, commonly employed strategies for computational real-space structural refinement are reviewed, and their specific applications are illustrated for several large macromolecular complexes: ribosome, virus capsids, chemosensory array, and photosynthetic chromatophore. The increasingly important role of computational methods in large-scale structural refinement, along with current and future challenges, is discussed.
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http://dx.doi.org/10.1146/annurev-biophys-062215-011113 | DOI Listing |
Dermatol Surg
January 2025
Division in Anatomy and Developmental Biology, Department of Oral Biology, Human Identification Research Institute, BK21 FOUR Project, Yonsei University College of Dentistry, Seodaemun-gu, Seoul, Korea.
Background: Nonsurgical rhinoplasty (NSR) with dermal fillers has gained popularity because of its immediate and visible results, minimal downtime, and long-lasting effects. However, complications such as filler migration can lead to the development of the "Avatar nose," a condition where the nose appears unnaturally wide and bulbous in the nasion area, disrupting facial harmony. This phenomenon is often exacerbated by the presence of a taut nasofrontal ligament, which tethers the periosteum to the dermal layer and influences nasal contour.
View Article and Find Full Text PDFPhys Chem Chem Phys
January 2025
Université Paris Cité, CNRS, Laboratoire de Biochimie Théorique, 13 rue Pierre et Marie Curie, 75005, Paris, France.
Tetramethylammonium (TMA) is a ubiquitous cationic motif in biochemistry, found in the charged choline headgroup of membrane phospholipids and in tri-methylated lysine residues, which modulates histone-DNA interactions and impacts epigenetic mechanisms. TMA interactions with anionic species, particularly carboxylate groups of amino acid residues and extracellular sugars, are of substantial biological relevance, as these interactions mediate a wide range of cellular processes. This study investigates the molecular interactions between TMA and acetate, representing carboxylate-containing groups, using neutron scattering experiments complemented by force fields and molecular dynamics (MD) simulations.
View Article and Find Full Text PDFCurr Med Imaging
January 2025
School of Life Sciences, Tiangong University, Tianjin 300387, China.
Objective: The objective of this research is to enhance pneumonia detection in chest X-rays by leveraging a novel hybrid deep learning model that combines Convolutional Neural Networks (CNNs) with modified Swin Transformer blocks. This study aims to significantly improve diagnostic accuracy, reduce misclassifications, and provide a robust, deployable solution for underdeveloped regions where access to conventional diagnostics and treatment is limited.
Methods: The study developed a hybrid model architecture integrating CNNs with modified Swin Transformer blocks to work seamlessly within the same model.
Int J Surg
December 2024
Department of Gynecological and Breast Surgery and Oncology, Pitié-Salpêtrière, Assistance Publique des Hôpitaux de Paris (AP-HP), University Hospital, Paris, France.
Background: Unlike other medical specialties, surgery is primarily learned through apprenticeship, by observing surgeons in action during operations. However, the increasing number of medical students and work-hour restrictions limit opportunities for learning in the operating room (OR). These circumstances call for novel technologies, such as immersive video.
View Article and Find Full Text PDFBMJ Open
December 2024
Centre for Applied Health Economics, Griffith University, Brisbane, Queensland, Australia.
Objectives: Efficient performance evaluation is essential for driving improvement, ensuring accountability and optimisation of outcomes in healthcare delivery. However, its complexity often leads to ineffective implementation. This article aims to advance the field of performance measurement within alternative healthcare delivery models of care through the development and validation of a comprehensive evaluation framework.
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