NMR structural determination of large multi-domain proteins is a challenging task due to significant spectral overlap with a particular difficulty in unambiguous identification of domain-domain interactions. Segmental labeling is a NMR strategy that allows for isotopically labeling one domain and leaves the other domain unlabeled. This significantly simplifies spectral overlaps and allows for quick identification of domain-domain interaction. Here, a novel segmental labeling strategy is presented for detection of inter-domain NOEs. To identify domain-domain interactions in human apolipoprotein E (apoE), a multi-domain, 299-residues α-helical protein, on-column expressed protein ligation was utilized to generate a segmental-labeled apoE samples in which the N-terminal (NT-) domain was (2)H(99%)/(15)N-labeled whereas the C-terminal (CT-) domain was either (15)N- or (15)N/(13)C-labeled. 3-D (15)N-edited NOESY spectra of these segmental-labeled apoE samples allow for direct observation of the inter-domain NOEs between the backbone amide protons of the NT-domain and the aliphatic protons of the CT-domain. This straightforward approach permits unambiguous identification of 78 inter-domain NOEs, enabling accurate definition of the relative positions of both the NT- and the CT-domains and determination of the NMR structure of apoE.
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http://dx.doi.org/10.1007/s10858-011-9526-0 | DOI Listing |
Med
December 2024
BioMarin (UK) Limited, Ltd., London, UK.
Background: Vosoritide is a C-type natriuretic peptide analog that addresses an underlying pathway causing reduced bone growth in achondroplasia. Understanding the vosoritide treatment effect requires evaluation over an extended duration and comparison with outcomes in untreated children.
Methods: After completing ≥6 months of a baseline observational growth study and 52 weeks in a double-blind, placebo-controlled study (ClinicalTrials.
PLoS One
December 2024
College of Interdisciplinary Studies, Thammasat University, Pathum Thani, Thailand.
This study aimed to evaluate the performance of a deep learning-based segmentation model for predicting outcomes of non-surgical endodontic treatment. Preoperative and 3-year postoperative periapical radiographic images of each tooth from routine root canal treatments performed by endodontists from 2015 to 2021 were obtained retrospectively from Thammasat University hospital. Preoperative radiographic images of 1200 teeth with 3-year follow-up results (440 healed, 400 healing, and 360 disease) were collected.
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December 2024
Department of Applied Mathematics, Technical Medical Centre, University of Twente, Enschede, The Netherlands.
The circle of Willis (CoW) is a circular arrangement of arteries in the human brain, exhibiting significant anatomical variability. The CoW is extensively studied in relation to neurovascular pathologies, with certain anatomical variants previously linked to ischemic stroke and intracranial aneurysms. In an individual CoW, arteries might be absent (aplasia) or underdeveloped (hypoplasia, diameter < 1 mm).
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December 2024
Institute of Informatics, HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland, Sierre, Switzerland.
Manual segmentation of lesions, required for radiotherapy planning and follow-up, is time-consuming and error-prone. Automatic detection and segmentation can assist radiologists in these tasks. This work explores the automated detection and segmentation of brain metastases (BMs) in longitudinal MRIs.
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December 2024
The Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, 200237, China.
Semantic segmentation is essential for comprehending images, but the process necessitates a substantial amount of detailed annotations at the pixel level. Acquiring such annotations can be costly in the real-world. Unsupervised domain adaptation (UDA) for semantic segmentation is a technique that uses virtual data with labels to train a model and adapts it to real data without labels.
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