Results 1 to 10 of about 517,188 (256)

RNA secondary structure factorization in prime tangles [PDF]

open access: yesBMC Bioinformatics, 2022
Background Due to its key role in various biological processes, RNA secondary structures have always been the focus of in-depth analyses, with great efforts from mathematicians and biologists, to find a suitable abstract representation for modelling its ...
Daniele Marchei, Emanuela Merelli
doaj   +2 more sources

RNA independent fragment partition method based on deep learning for RNA secondary structure prediction [PDF]

open access: yesScientific Reports, 2023
The non-coding RNA secondary structure largely determines its function. Hence, accuracy in structure acquisition is of great importance. Currently, this acquisition primarily relies on various computational methods.
Qi Zhao   +7 more
doaj   +2 more sources

Comparative analysis of RNA secondary structure accuracy on predicted RNA 3D models. [PDF]

open access: yesPLoS ONE, 2023
RNA structure is conformationally dynamic, and accurate all-atom tertiary (3D) structure modeling of RNA remains challenging with the prevailing tools. Secondary structure (2D) information is the standard prerequisite for most RNA 3D modeling.
Mandar Kulkarni   +3 more
doaj   +4 more sources

RNA secondary structure prediction by conducting multi-class classifications [PDF]

open access: yesComputational and Structural Biotechnology Journal
Generating valid predictions of RNA secondary structures is challenging. Several deep learning methods have been developed for predicting RNA secondary structures.
Jiyuan Yang   +4 more
doaj   +2 more sources

StructRMDB: A database of RNA modification sites that affect RNA secondary structure [PDF]

open access: yesComputational and Structural Biotechnology Journal
Post-transcriptional RNA modifications, prevalent in multiple RNA species such as mRNA, rRNA, and tRNA, play a significant role in biological processes by altering RNA structures.
Ziyan Zhang   +7 more
doaj   +2 more sources

NTFold: Structure-Sensing Nucleotide Attention Learning for RNA Secondary Structure Prediction [PDF]

open access: yesSensors
Determining RNA secondary structures is a fundamental challenge in computational biology and molecular sensing. Experimental techniques such as X-ray crystallography, nuclear magnetic resonance, and cryo-electron microscopy can reveal RNA structures with
Kangjun Jin   +4 more
doaj   +2 more sources

RNA secondary structure prediction with convolutional neural networks [PDF]

open access: yesBMC Bioinformatics, 2022
Background Predicting the secondary, i.e. base-pairing structure of a folded RNA strand is an important problem in synthetic and computational biology.
Mehdi Saman Booy   +2 more
doaj   +2 more sources

A New Method of RNA Secondary Structure Prediction Based on Convolutional Neural Network and Dynamic Programming

open access: yesFrontiers in Genetics, 2019
In recent years, obtaining RNA secondary structure information has played an important role in RNA and gene function research. Although some RNA secondary structures can be gained experimentally, in most cases, efficient, and accurate computational ...
Hao Zhang   +6 more
doaj   +3 more sources

Analysis of the abundance and diversity of RNA secondary structure elements in RNA viruses using the RNAsselem Python package [PDF]

open access: yesScientific Reports
Recent advancements in experimental and computational methods for RNA secondary structure detection have revealed the crucial role of RNA structural elements in diverse molecular processes within living cells.
Fedor M. Kazanov   +4 more
doaj   +2 more sources

Structural 3D Domain Reconstruction of the RNA Genome from Viruses with Secondary Structure Models

open access: yesViruses, 2021
Three-dimensional RNA domain reconstruction is important for the assembly, disassembly and delivery functionalities of a packed proteinaceus capsid. However, to date, the self-association of RNA molecules is still an open problem. Recent chemical probing
Simón Poblete, Horacio V. Guzman
doaj   +1 more source

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