ResidualBind: Uncovering Sequence-Structure Preferences of RNA-Binding Proteins with Deep Neural Networks

Koo, Peter K, Ploenzke, Matt, Anand, Praveen, Paul, Steffan, Majdandzic, Antonio (2023) ResidualBind: Uncovering Sequence-Structure Preferences of RNA-Binding Proteins with Deep Neural Networks. Methods in Molecular Biology, 2586. pp. 197-215. ISSN 1064-3745

URL: https://www.ncbi.nlm.nih.gov/pubmed/36705906

DOI: 10.1007/978-1-0716-2768-6_12

Abstract

Deep neural networks have demonstrated improved performance at predicting sequence specificities of DNA- and RNA-binding proteins. However, it remains unclear why they perform better than previous methods that rely on k-mers and position weight matrices. Here, we highlight a recent deep learning-based software package, called ResidualBind, that analyzes RNA-protein interactions using only RNA sequence as an input feature and performs global importance analysis for model interpretability. We discuss practical considerations for model interpretability to uncover learned sequence motifs and their secondary structure preferences.

Item Type:	Paper
Subjects:	bioinformatics bioinformatics > genomics and proteomics > genetics & nucleic acid processing bioinformatics > genomics and proteomics bioinformatics > genomics and proteomics > genetics & nucleic acid processing > protein structure, function, modification organs, tissues, organelles, cell types and functions > cell types and functions > cell types > neurons > neuronal circuits organs, tissues, organelles, cell types and functions > cell types and functions > cell types > neurons > neuronal circuits organs, tissues, organelles, cell types and functions > cell types and functions > cell types > neurons > neuronal circuits organs, tissues, organelles, cell types and functions > cell types and functions > cell types > neurons organs, tissues, organelles, cell types and functions > cell types and functions > cell types > neurons organs, tissues, organelles, cell types and functions > cell types and functions > cell types > neurons bioinformatics > genomics and proteomics > genetics & nucleic acid processing > protein structure, function, modification > protein types bioinformatics > genomics and proteomics > genetics & nucleic acid processing > protein structure, function, modification > protein types > RNA binding protein
CSHL Authors:	Koo, Peter K Majdandzic, Antonio
Communities:	CSHL labs > Koo Lab CSHL Cancer Center Program CSHL Cancer Center Program > Gene Regulation and Inheritance Program
SWORD Depositor:	CSHL Elements
Depositing User:	CSHL Elements
Date:	2023
Date Deposited:	30 Jan 2023 20:33
Last Modified:	09 Feb 2024 15:15
PMCID:	PMC10245223
URI:	https://repository.cshl.edu/id/eprint/40806

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