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Detection of RNA-binding Proteins by In Vitro RNA Pull-down in Adipocyte Culture
Published on: July 22, 2016
Structural prediction of potent non-coding RNAs
Abhijit Beura1, Gowrang Kasaba Manjunath1, Tikam Chand Dakal2
1Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India; Institute of Bioinformatics, Bangalore, Karnataka, India.
Abstract:
Non-coding RNAs (ncRNAs) are vital regulatory molecules that play critical roles in gene expression, cellular signaling, and various biological processes. This review explores the diverse types of ncRNAs, including microRNAs, small interfering RNAs, and long non-coding RNAs, emphasizing their structural features and functional implications. Accurate structural predictions of ncRNAs are essential for understanding their interactions with other biomolecules and developing therapeutic strategies. Advances in computational methods and experimental techniques are enhancing our ability to predict RNA structures and elucidate their roles in health and disease. Despite significant progress, challenges remain in accurately modeling complex RNA structures and understanding the dynamic nature of RNA folding. Future research directions will focus on integrating multi-omics data, refining prediction algorithms, and addressing ethical considerations associated with ncRNA-based therapies. The potential applications of ncRNAs in drug discovery, biomarker identification, and synthetic biology underscore their importance in modern biomedical research.
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