Skip to content

RNA Structure and Its Function.

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.

View source

Similar papers

#protein folding Open access Sep 2026

Computational modeling of an RNA-peptide world

It is hypothesize that the RNA world was, actually, an ‘RNA-peptide world’, in which, from the earliest stages of evolution, evolving RNA molecules interacted with short random peptides synthesized in a non-templated manner, which could drive the evolution of diverse RNA structures and activities, and eventually, of th...

Harutyun Sahakyan, Y. Wolf, E. Koonin · 0 citations
#protein folding Review Open access Sep 2026

RNA engineering approaches to aid high-resolution structure determination of medium- to large-sized RNAs.

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. · 0 citations
Review Open access Aug 2026

From RNA design to delivery: Computational strategies for functional RNA therapeutics

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. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.