http://ir.librarynmu.com/handle/123456789/30 2026-10-05T13:10:33Z http://ir.librarynmu.com/handle/123456789/20142 Название: Molecular Markers Of Hepatocyte Injury: Expression Of Beclin-1, Bax, And Grp78 During Chronic Alcohol Exposure In Female Rats Авторы: Nizhenkovska, I.; Kuznetsova, O.; Narokha, V. Краткий осмотр (реферат): The identification of molecular markers of liver pathology induced by chronic alcohol consumption is important for understanding the mechanisms of alcohol-induced liver injury, early diagnosis, and development of targeted, individualized therapy. Investigating the interplay between autophagy, apoptosis, and endoplasmic reticulum stress may facilitate the development of integrated biomarker panels reflecting the extent and nature of hepatocellular damage. 2026-01-01T00:00:00Z http://ir.librarynmu.com/handle/123456789/20111 Название: Evaluation Of Trust And Perspectives On Artificial Intelligence Integration Among Medical And Pharmaceutical Professionals: A Survey Study Авторы: Nikolenko, H.; Andrushchenko, I.; Temirova, O. Краткий осмотр (реферат): Evaluation Of Trust And Perspectives On Artificial Intelligence Integration Among Medical And Pharmaceutical Professionals: A Survey Study 2026-01-01T00:00:00Z http://ir.librarynmu.com/handle/123456789/20101 Название: Innovative Approaches to Developing Practical Skills in Students in Chemical Disciplines Авторы: Welchinska, O.; Sysa, P.; Meleshko, R. Краткий осмотр (реферат): The aim of the study is to introduce modern innovative approaches into the process of studying synthetic, biological, and biotechnological drugs within chemical disciplines. Innovative approaches to learning comprise new methods, technologies, and forms of classroom organization that make the educational process interactive, flexible, and practice-oriented, replacing traditional passive lectures with active student participation. Modern innovative approaches include the Flipped Classroom (where classes focus solely on solving practical problems), Project-Based Learning (where assessment is based on creating a real project), Gamification (utilizing points, ratings, quests, and interactive platforms), Blended Learning (combining traditional classroom sessions with online tools), and Microlearning (presenting material in short, concentrated blocks, such as 3–5 minute videos). Technological innovations utilizing artificial intelligence (AI) to create personalized educational trajectories for each student, alongside virtual and augmented reality (VR/AR) for simulating complex or dangerous processes, are highly relevant. Furthermore, computer programs allow researchers not only to model molecular structures using bioisosteric replacement, scaffold combinations, and other operations, but also to predict the physicochemical and biological properties of molecules, enabling in silico work with chemical objects (for example, wissTargetPrediction, ProTox, and others). However, the development of practical laboratory skills using modern high-tech instrumental methods of chromatography and spectroscopy remains paramount. Hands-on laboratory practice utilizing an expanded range of modern high-tech equipment will allow students to master and improve their skills when working with biologically active substances of various origins. Particular attention should be paid to tasks related to specific methods for analyzing substances of biological or biotechnological origin that are actively used in manufacturing medicines. All operational procedures involving biologically active medicinal substances are performed using validated, standardized pharmacopoeial methods. When working with such substances, continuous improvement of techniques, as well as the implementation of new methods and their combinations in analysis, remains highly relevant. 2026-01-01T00:00:00Z http://ir.librarynmu.com/handle/123456789/20100 Название: Computer Prediction of the Bioactivity of Potential Drugs of Biological/ Biotechnological Origin – Propargyl Ethers with Pharmacophore Group as a Stage of Drug Development Авторы: Welchinska, O.; Puzueva, A. Краткий осмотр (реферат): Abstract. The aim of the study is to introduce the Al Tools toolkit into the process of developing new drugs that contain acetylene fragments as a scaffold. Propargyl organic substances differ from other compounds in their increased chemical and, accordingly, biological activity, since these molecules contain a terminal triple bond in a complex with a different set of pharmacophores. Propargyl compounds remain an interesting object in the search for new biologically active substances (BAS) for the creation of effective drugs in the future. The starting compound in the synthesis of propargylic compounds is propargylic alcohol, on the basis of which a range of biologically active substances have already been synthesized that have found their application in medicine and pharmacy. Propargyl molecules are actively used in bioisosteric substitution procedures, which opens up a wide field for the creation of new biologically active substances. However, to calculate the degree of biological effectiveness, physical parameters and chemical characteristics of the propargylic compounds that are planned to be synthesized, computer analysis, rational drug design in silico – targeted search for BAS, pharmacophore modeling, virtual screening helps. It is important to identify proteins and ligands that the synthesized compounds will act on, based on the results obtained by methods of biological and chemical predictive informatics. During the procedure for evaluating the structure and action of the synthesized molecule, the hypothesis of «molecular similarity» is used. A comparative analysis of the chemical structure features of new unannealed propargyl polyfluorosubstituted ethers and their structurally related compounds, as well as the relationship between their structure and biological activity, was conducted. Computer prediction of physicochemical parameters and potential biological properties and off-target effects of new unannealed propargyl alcohol derivatives and their related compounds was performed using the Swiss TargetPredictio program (SIB Swiss Institute of Bioinformatics). 2026-01-01T00:00:00Z