L-arabinose isomerase (AI), which catalyzes the isomerization of L-arabinose to L-ribulose, can also convert D-galactose to D-tagatose, a natural sugar replacer, which is of commercial interest in the food and healthcare industries. Intriguingly, mesophilic and thermophilic AIs showed different substrate preferences and metal requirements in catalysis and different thermostabilities. However, the catalytic mechanism of thermophilic AIs still remains unclear. Therefore, thermophilic Geobacillus kaustophilus AI (GKAI) was overexpressed, purified and crystallized, and a preliminary X-ray diffraction data set was obtained. Diffraction data were collected from a GKAI crystal to 2.70 Å resolution. The crystal belonged to the monoclinic space group C2, with unit-cell parameters a = 224.12, b = 152.95, c = 91.28 Å, β = 103.61°. The asymmetric unit contained six molecules, with a calculated Matthews coefficient of 2.25 Å(3) Da(-1) and a solvent content of 45.39%. The three-dimensional structure determination of GKAI is currently in progress by molecular replacement and model building.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3943100 | PMC |
http://dx.doi.org/10.1107/S2053230X13033724 | DOI Listing |
J Clin Exp Neuropsychol
January 2025
Department of Neurology, Medical University of South Carolina, Charleston, USA.
Objective: To examine neuropsychological characteristic differences between typical and atypical language dominance in adult persons with epilepsy (PWE) and mesial temporal sclerosis (MTS), including exploring the impact of selected clinical variables on detection of atypical language and neuropsychological performance.
Methods: Adults with intractable epilepsy and MTS ( = 39) underwent comprehensive, pre-surgical evaluation including fMRI and neuropsychological assessment. Participants with concordant lateralization of MTS and seizure onset were included.
Clin Transl Oncol
January 2025
Department of Radiation Oncology, HM Hospitales, Madrid, Spain.
Introduction: SRS for the treatment of limited brain metastases (BM) is widely accepted, but there are still limitations in the management of numerous BM. Frameless single-isocenter multitarget SRS is a novel technique that allows for rapid treatment delivery to multiple BM. We report our preliminary clinical, dosimetric, and patient´s shifts outcomes with this technique.
View Article and Find Full Text PDFJ Neurol
January 2025
Department of Medical and Surgical Sciences, University of Foggia, 71122, Foggia, Italy.
Background: Multiple sclerosis (MS) involves a complex interplay between immune-mediated inflammation and neurodegeneration. Recent advances in biomarker research have provided new insights into the molecular underpinnings of MS, including ferritin, neurogranin, Triggering Receptor Expressed on Myeloid cells 2 (TREM2), and neurofilaments light chain.
Objectives: This pilot study aims to investigate the levels of these biomarkers in the cerebrospinal fluid (CSF) of MS patients and explore their associations with clinical, cognitive, and optical coherence tomography (OCT) parameters.
Eur Radiol
January 2025
Department of Radiology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Objective: This study aimed to develop an open-source multimodal large language model (CXR-LLaVA) for interpreting chest X-ray images (CXRs), leveraging recent advances in large language models (LLMs) to potentially replicate the image interpretation skills of human radiologists.
Materials And Methods: For training, we collected 592,580 publicly available CXRs, of which 374,881 had labels for certain radiographic abnormalities (Dataset 1) and 217,699 provided free-text radiology reports (Dataset 2). After pre-training a vision transformer with Dataset 1, we integrated it with an LLM influenced by the LLaVA network.
Eur J Radiol Open
June 2025
Department of Diagnostic Radiology, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba 277-8577, Japan.
Purpose: The potential of spectral images, particularly electron density and effective Z-images, generated by dual-energy computed tomography (DECT), for the histopathologic classification of lung cancer remains unclear. This study aimed to explore which imaging factors could better reflect the histopathological status of lung cancer.
Method: The data of 31 patients who underwent rapid kV-switching DECT and subsequently underwent surgery for lung cancer were analyzed.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!