Recent technological advances and experimental techniques have contributed to an increasing number and size of NMR datasets. In order to scale up productivity, laboratory information management systems for handling these extensive data need to be designed and implemented. The SPINS (Standardized ProteIn Nmr Storage) Laboratory Information Management System (LIMS) addresses these needs by providing an interface for archival of complete protein NMR structure determinations, together with functionality for depositing these data to the public BioMagResBank (BMRB). The software tracks intermediate files during each step of an NMR structure-determination process, including: data collection, data processing, resonance assignments, resonance assignment validation, structure calculation, and structure validation. The underlying SPINS data dictionary allows for the integration of various third party NMR data processing and analysis software, enabling users to launch programs they are accustomed to using for each step of the structure determination process directly out of the SPINS user interface.
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http://dx.doi.org/10.1002/prot.20840 | DOI Listing |
ACS Nano
January 2025
State Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan 610041, China.
Targeted drug delivery is a promising strategy for treating inflammatory diseases, with recent research focusing on the combination of neutrophils and nanomaterials. In this study, a targeted nanodrug delivery platform (Ac-PGP-tFNA, APT) was developed using tetrahedral framework nucleic acid (tFNA) along with a neutrophil hitchhiking mechanism to achieve precise delivery and anti-inflammatory effects. The tFNA structure, known for its excellent drug-loading capacity and cellular uptake efficiency, was used to carry a therapeutic agent─baicalin.
View Article and Find Full Text PDFMicrobiol Spectr
January 2025
Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China.
is a vital zoonotic pathogen known for its extensive drug resistance and ability to form biofilms, which contribute to its antibiotic resistance. In this study, the phage vB_C4, specifically targeting , was isolated and subjected to bioinformatic analysis and bacteriostatic activity assays. The combination of phage vB_C4 with antibiotics such as cephalothin and cefoxitin, which target the bacterial cell wall, resulted in a significantly enhanced bacteriostatic effect compared to either the phage or antibiotics alone.
View Article and Find Full Text PDFIntegr Environ Assess Manag
January 2025
Ionian Department, University of Bari Aldo Moro, Bari, Italy.
Fugitive or diffuse methane emissions constitute an important source of damage to the environment, much greater even than CO2 both over a time span of 20 years and over a longer time span of 100. It is therefore of preeminent importance to undertake all the efforts necessary to implement new tools, protocols, and methods that contribute to the identification and measurement of these emissions to implement site-specific actions of mitigation, repair, and conscious management of the emitting plants. Among the remote sensing and leak detection technologies currently used, the tunable diode laser absorption spectroscopy (TDLAS) method plays a relevant role.
View Article and Find Full Text PDFDiagn Interv Radiol
January 2025
Huadong Hospital, Fudan University, Department of Thoracic Surgery, Shanghai, China.
Purpose: Patients with advanced non-small cell lung cancer (NSCLC) have varying responses to immunotherapy, but there are no reliable, accepted biomarkers to accurately predict its therapeutic efficacy. The present study aimed to construct individualized models through automatic machine learning (autoML) to predict the efficacy of immunotherapy in patients with inoperable advanced NSCLC.
Methods: A total of 63 eligible participants were included and randomized into training and validation groups.
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