Mass spectrometry is a widely used technology to identify and quantify biomolecules such as lipids, metabolites and proteins necessary for biomedical research. In this study, we catalogued freely available software tools, libraries, databases, repositories and resources that support lipidomics data analysis and determined the scope of currently used analytical technologies. Because of the tremendous importance of data interoperability, we assessed the support of standardized data formats in mass spectrometric (MS)-based lipidomics workflows. We included tools in our comparison that support targeted as well as untargeted analysis using direct infusion/shotgun (DI-MS), liquid chromatography-mass spectrometry, ion mobility or MS imaging approaches on MS and potentially higher MS levels. As a result, we determined that the Human Proteome Organization-Proteomics Standards Initiative standard data formats, mzML and mzTab-M, are already supported by a substantial number of recent software tools. We further discuss how mzTab-M can serve as a bridge between data acquisition and lipid bioinformatics tools for interpretation, capturing their output and transmitting rich annotated data for downstream processing. However, we identified several challenges of currently available tools and standards. Potential areas for improvement were: adaptation of common nomenclature and standardized reporting to enable high throughput lipidomics and improve its data handling. Finally, we suggest specific areas where tools and repositories need to improve to become FAIRer.
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http://dx.doi.org/10.3390/metabo12070584 | DOI Listing |
J Comput Chem
January 2025
Departmento de Química, Facultad de Ciencias, Universidad de Tarapacá, Arica, Chile.
Data analysis is a major task for Computational Chemists. The diversity of modeling tools currently available in Computational Chemistry requires the development of flexible analysis tools that can adapt to different systems and output formats. As a contribution to this need, we report the implementation of goChem, a versatile open-source library for multiscale analysis of computational chemistry data.
View Article and Find Full Text PDFClin Transl Sci
January 2025
Global Biometrics and Data Management, Pfizer Research and Development, New York, New York, USA.
The pharmaceutical industry constantly strives to improve drug development processes to reduce costs, increase efficiencies, and enhance therapeutic outcomes for patients. Model-Informed Drug Development (MIDD) uses mathematical models to simulate intricate processes involved in drug absorption, distribution, metabolism, and excretion, as well as pharmacokinetics and pharmacodynamics. Artificial intelligence (AI), encompassing techniques such as machine learning, deep learning, and Generative AI, offers powerful tools and algorithms to efficiently identify meaningful patterns, correlations, and drug-target interactions from big data, enabling more accurate predictions and novel hypothesis generation.
View Article and Find Full Text PDFSensors (Basel)
January 2025
College of Electronics and Information Engineering, South-Central Minzu University, Wuhan 430074, China.
Drones are extensively utilized in both military and social development processes. Eliminating the reliance of drone positioning systems on GNSS and enhancing the accuracy of the positioning systems is of significant research value. This paper presents a novel approach that employs a real-scene 3D model and image point cloud reconstruction technology for the autonomous positioning of drones and attains high positioning accuracy.
View Article and Find Full Text PDFDiabetes Ther
January 2025
Eli Lilly and Company, Indianapolis, IN, USA.
Introduction: The study objective was to describe characteristics and utilization patterns of tirzepatide users with type 2 diabetes (T2D) using the Healthcare Integrated Research Database in the USA.
Methods: Adults (≥18 years) included had T2D diagnosis; ≥1 tirzepatide claim (May 2022-January 2023; first claim date = index date); and continuous medical and pharmacy enrollment during the 6-month baseline and follow-up periods from the index date. Baseline demographics, clinical characteristics, and 6-month follow-up dosing and treatment patterns were summarized descriptively.
Mol Biotechnol
January 2025
Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Tabuk, Tabuk, Saudi Arabia.
Clustered, regularly interspaced short palindromic repeats (CRISPR)-CRISPR-associated protein (Cas) system is a new gene editing tool that represents a revolution in gene therapy. This study aimed to review the clinical trials conducted to evaluate the efficacy and safety of the CRISPR/Cas9 system in treating thalassemia and sickle cell disease (SCD). We searched relevant literature using "CRISPR Cas", "thalassemia", "sickle cell" and "clinical trial" as subject terms in PubMed, Cochrane, Web of Science, and Google Scholar up to December 3rd, 2023.
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