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    Different chromatographic techniques and recent advancements for biomedical and pharmaceutical applications
    (Kare Publ, 2025) Coskun, Ozlem; Akbarzadeh, Sama; Guncer, Basak
    Chromatography remains a cornerstone analytical technique in pharmaceutical and biomedical sciences, with recent innovations significantly expanding its capabilities. Advances such as fast chromatography, two-dimensional liquid chromatography (2D-LC), supercritical fluid chromatography (SFC), and hyphenated techniques, including liquid chromatography-mass spectrometry (LC-MS) and gas chromatography-mass spectrometry (GC-MS), have broadened the scope of its applications. These developments enhance resolution, sensitivity, and efficiency, enabling more robust analysis of complex biological and pharmaceutical samples. These methods address complex analytical challenges, improving precision, speed, and efficiency in separating and analyzing biomolecules. Emerging technologies, including miniaturized liquid chromatography, shear flow chromatography, column arrays, and microfluidic chip-based systems, present exciting opportunities for the future. These developments enhance the capability of chromatography to analyze trace compounds, optimize drug formulations, and ensure the quality control of pharmaceuticals. Chromatography is also increasingly integrated with cutting-edge techniques like metabolomics and proteomics, furthering its impact on biomarker discovery and personalized medicine. This paper reviews recent advancements in chromatographic methods and their practical applications in the pharmaceutical and biomedical fields. It highlights the critical role of chromatography in drug discovery, purification of therapeutic compounds, and metabolite profiling.
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    Öğe
    Studying protein-protein interactions: Latest and most popular approaches
    (Academic Press Inc Elsevier Science, 2024) Akbarzadeh, Sama; Coşkun, Özlem; Güncer, Başak
    PPIs, or protein-protein interactions, are essential for many biological processes. According to the findings, abnormal PPIs have been linked to several diseases, such as cancer and infectious and neurological disorders. Consequently, focusing on PPIs is a path toward disease treatment and a crucial tool for producing novel medications. Many methods exist to investigate PPIs, including low- and high-throughput studies. Since many PPIs have been discovered using in vitro and in vivo experimental approaches, the use of computational methods to predict PPIs has grown due to the expanding scale of PPI data and the intrinsic complexity of interacting mechanisms. Recognizing PPI networks offers a systematic means of predicting protein functions, and pathways that are included. These investigations can help uncover the underlying molecular mechanisms of complex phenotypes and clarify the biological processes related to health and diseases. Therefore, our goal in this study is to provide an overview of the latest and most popular approaches for investigating PPIs. We also overview some important clinical approaches based on the PPIs and how these interactions can be targeted.