Ankle fractures involve a spectrum of injury patterns from simple to complex, such that these injuries are not always "just an ankle fracture." By combining the injury mechanism and the radiographic findings, the surgeon can apply the Lauge-Hansen classification in taking a rational approach to the management of these fractures. Syndesmotic instability and atypical patterns are becoming increasingly recognized, in part through the judicious use of CT scans. The goal of surgical stabilization includes atraumatic soft tissue management, rigid internal fixation, and early range of motion exercises in maximizing return of function.
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http://dx.doi.org/10.1016/j.fcl.2008.09.003 | DOI Listing |
J Phys Chem Lett
January 2025
Department of Chemistry, Virginia Commonwealth University, Richmond, Virginia 23284, United States.
Ethylene glycol dinitrate (EGDN) is a nitrate ester explosive widely used in military ordnance and missile systems. This study investigates the decomposition dynamics of the EGDN cation using a comprehensive approach that combines femtosecond time-resolved mass spectrometry (FTRMS) experiments with electronic structure and molecular dynamics computations. We identify three distinct dissociation time scales for the metastable EGDN cation of approximately 40-60 fs, 340-450 fs, and >2 ps.
View Article and Find Full Text PDFNat Commun
January 2025
Center for Biomolecular and Cellular Structure, Institute for Basic Science (IBS), Daejeon, Republic of Korea.
Toxic protein aggregates are associated with various neurodegenerative diseases, including Huntington's disease (HD). Since no current treatment delays the progression of HD, we develop a mechanistic approach to prevent mutant huntingtin (mHttex1) aggregation. Here, we engineer the ATP-independent cytosolic chaperone PEX19, which targets peroxisomal membrane proteins to peroxisomes, to remove mHttex1 aggregates.
View Article and Find Full Text PDFComput Biol Chem
January 2025
Center of Excellence in Structural and Computational Biology, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand; Program in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University, Bangkok 10330, Thailand. Electronic address:
Janus kinases (JAKs) are a family of intracellular tyrosine kinases that play a crucial role in signal transduction pathways. JAK2 has been implicated in the pathogenesis of leukemia, making it a promising target for research aimed at reducing the risk of this disease. This study examined the potential of mimosamycin as a JAK2 inhibitor using both in vitro and in silico approaches.
View Article and Find Full Text PDFBioorg Chem
December 2024
Department of Pharmaceutical Chemistry, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi 110062, India; Department of Pharmacy, Birla Institute of Technology and Science (BITS) Pilani, Hyderabad Campus, Dist. Medchal, 500078 TS, India. Electronic address:
Combination therapies play a pivotal role in cancer treatment due to the intricate nature of the disease. Tubulin, a protein crucial for cellular functions, is a prime target in tumor therapy as it regulates microtubule dynamics. Combining tubulin inhibitors with other different inhibitors as dual targeting inhibitors has shown synergistic anti-tumor effects, amplifying therapeutic outcomes.
View Article and Find Full Text PDFJ Chem Inf Model
January 2025
Department of Life Science Informatics and Data Science, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Friedrich-Hirzebruch-Allee 5/6, Bonn D-53115, Germany.
Explaining the predictions of machine learning models is of critical importance for integrating predictive modeling in drug discovery projects. We have generated a test system for predicting isoform selectivity of phosphoinositide 3-kinase (PI3K) inhibitors and systematically analyzed correct predictions of selective inhibitors using a new methodology termed MolAnchor, which is based on the "anchors" concept from explainable artificial intelligence. The approach is designed to generate chemically intuitive explanations of compound predictions.
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