RNA secondary structure prediction using deep learning with ...
2021年2月11日 · Inspired by MXfold and the DNN-based RNA secondary structure prediction methods, in this paper, we propose an algorithm for predicting RNA secondary structures using deep learning.
Advances and opportunities in RNA structure experimental …
2022年10月6日 · RNA molecules first fold into secondary structures in a process dominated by canonical Watson–Crick and wobble base pairing, before further folding into tertiary structures, driven by...
Accurate prediction of RNA secondary structure including …
2024年3月9日 · KnotFold predicts the secondary structure of a target RNA through three main steps, i.e., predicting the base pairing probabilities for any two bases of the given RNA, constructing a...
RNA Secondary Structure an Overview | SpringerLink
2018年3月21日 · The secondary structure of an RNA sequence is formed when the RNA strand folds onto itself by forming hydrogen bonds between G-C, A-U, and G-U. So predicting RNA secondary structure return to predict the different hydrogen liaisons in an RNA molecule using only the primary structure of the sequence.
Secondary Structures of rRNAs from All Three Domains of Life
2014年2月5日 · RNA secondary (2°) structures, with symbolic representations of base pairs, double-helices, loops, bulges, and single-strands, provide frameworks for understanding three-dimensional (3D) structure, folding and function of RNA, and for organizing, distilling, and illustrating a wide variety of information.
Prediction and differential analysis of RNA secondary structure
2020年5月9日 · RNA structure is the crucial basis for RNA function in various cellular processes. Over the last decade, high throughput structure profiling (SP) experiments have brought enormous insight into RNA secondary structure. Results.
UFold: fast and accurate RNA secondary structure prediction …
2021年11月18日 · For many RNA molecules, the secondary structure is essential for the correct function of the RNA. Predicting RNA secondary structure from nucleotide sequences is a long-standing problem in genomics, but the prediction performance has reached a plateau over time.
Comprehensive benchmarking of large language models for RNA secondary ...
4 天之前 · In this work we present a comprehensive experimental analysis of several pre-trained RNA-LLM, comparing them for the RNA secondary structure prediction task in an unified deep learning framework. The RNA-LLM were assessed with increasing generalization difficulty on benchmark datasets. Results showed that two LLM clearly outperform the other ...
Welcome to the Predict a Secondary Structure Web Server
2018年2月14日 · The Predict a Secondary Structure server combines four separate prediction and analysis algorithms: calculating a partition function, predicting a minimum free energy (MFE) structure, finding structures with maximum expected accuracy, and pseudoknot prediction.
UFold: fast and accurate RNA secondary structure prediction
2022年2月22日 · For many RNA molecules, the secondary structure is essential for the correct function of the RNA. Predicting RNA secondary structure from nucleotide sequences is a long-standing problem in genomics, but the prediction performance has reached a plateau over time.