Article

RNA secondary structure prediction with Convolutional Neural Networks

2021-05-24

Abstract excerpt

Predicting the secondary, i.e. base-pairing structure of a folded RNA strand is an important problem in synthetic and computational biology. First-principle algorithmic approaches to this task are challenging because existing models of the folding process are inaccurate, and even if a perfect model existed, finding an optimal solution would be in general NP-complete. In this paper, we propose a simple, yet extreme...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: ad1909aa-f31b-5e18-97e7-58787ac95bb3
DOI: 10.1101/2021.05.24.445408

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

RNA secondary structure prediction with Convolutional Neural NetworksDOI 10.1101/2021.05.24.445408Read

Graph Convolutional Network for predicting secondary structure of RNASemantic proximity Read

Deep learning predicts non-coding RNA functions from only raw sequence dataSemantic proximity Read

Diverse Database and Machine Learning Model to Narrow the Generalization Gap in RNA Structure PredictionSemantic proximity Read

Diverse Database and Machine Learning Model to Narrow the Generalization Gap in RNA Structure PredictionSemantic proximity Read

LTPConstraint: a transfer learning based end-to-end method for RNA secondary structure predictionSemantic proximity Read

Generative and predictive neural networks for the design of functional RNA moleculesSemantic proximity Read

<i>Ab initio</i> prediction of RNA structure ensembles with RNAnnealSemantic proximity Read

RnaBench: A Comprehensive Library for <i>In Silico</i> RNA ModellingSemantic proximity Read

CS-Fold: Advancing RNA Structure Predictions through Phylogenetic Modelling of Compensatory Mutations in Deep Neural NetworksSemantic proximity Read

Reconstruction of natural RNA sequences from RNA shape, thermodynamic stability, mutational robustness, and linguistic complexity by evolutionary computation.Semantic proximity Read

De novo design of RNA pseudoknots with deep learningSemantic proximity Read

A high-throughput approach to profile RNA structure.Semantic proximity Read