2026· Methods in molecular biology· Vol 3037, pp.
185-214
· 0 citations
Medicine
TL;DR
Current gold-standard RNA structure prediction approaches and cutting-edge ML methods that can contribute to inferring RNA functions are introduced, and software protocols for generating RNA family sequences using a novel methodology called RfamGen are introduced, enabling readers to explore how cutting-edge ML can be leveraged for not only structure prediction but also the design of artificial RNA sequences to engineer novel RNA functions.
Emergence and evolution of functional RNA and protein structures are the central problems for understanding the origin of life. Although it is well known that catalytically active RNA elements, ribozymes, can catalyze many reactions 1–3, including peptide bond formation, the specifics of the transition from the hypothe...
Harutyun Sahakyan, Y. Wolf, E. Koonin· bioRxiv· 0 citations
High-resolution structure determination of RNA remains a major challenge due to its conformational flexibility, intrinsic heterogeneity, and susceptibility to degradation. Although RNA plays central roles in gene regulation, viral replication, and cellular homeostasis, RNA-only structures represent a small fraction of...
Jerricho Tipo, K. Gottipati, Marc C. Morais et al.· Journal of Biological Chemis...· 0 citations
RNA therapeutics provide a revolutionary means of treating a variety of diseases by precisely regulating gene expression and protein synthesis, with great medical significance. However, there are three key challenges to its clinical application: the inherent instability of RNA, the need for controlled regulation of RNA...
Yi-Ming Wang, Sheng-Xin Tong, Xin Wang et al.· Bioactive Materials· 0 citations
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