AIMC Topic: RNA-Binding Proteins

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miRbiom: Machine-learning on Bayesian causal nets of RBP-miRNA interactions successfully predicts miRNA profiles.

PloS one Oct 12, 2021
Formation of mature miRNAs and their expression is a highly controlled process. It is very much dependent upon the post-transcriptional regulatory events. Recent findings suggest that several RNA binding proteins beyond Drosha/Dicer are involved in t...
Protein Binding RNA-Binding Proteins Databases, Genetic Humans Machine Learning MicroRNAs User-Computer Interface Bayes Theorem
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A novel lncRNA-protein interaction prediction method based on deep forest with cascade forest structure.

Scientific reports Sep 23, 2021
Long noncoding RNAs (lncRNAs) regulate many biological processes by interacting with corresponding RNA-binding proteins. The identification of lncRNA-protein Interactions (LPIs) is significantly important to well characterize the biological functions...
RNA-Binding Proteins RNA, Long Noncoding Zea mays Humans Machine Learning Computational Biology Datasets as Topic Arabidopsis
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rBPDL:Predicting RNA-Binding Proteins Using Deep Learning.

IEEE journal of biomedical and health informatics Sep 3, 2021
RNA-binding protein (RBP) is a powerful and wide-ranging regulator that plays an important role in cell development, differentiation, metabolism, health and disease. The prediction of RBPs provides valuable guidance for biologists. Although experimen...
Deep Learning Protein Binding RNA-Binding Proteins Binding Sites Neural Networks, Computer
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PRPI-SC: an ensemble deep learning model for predicting plant lncRNA-protein interactions.

BMC bioinformatics Aug 24, 2021
BACKGROUND: Plant long non-coding RNAs (lncRNAs) play vital roles in many biological processes mainly through interactions with RNA-binding protein (RBP). To understand the function of lncRNAs, a fundamental method is to identify which types of prote...
Neural Networks, Computer Deep Learning Computational Biology RNA-Binding Proteins RNA, Long Noncoding
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Identification of biomarkers for acute leukemia via machine learning-based stemness index.

Gene Aug 16, 2021
Traditional methods to understand leukemia stem cell (LSC)'s biological characteristics include constructing LSC-like cells and mouse models by transgenic or knock-in methods. However, there are some potential pitfalls in using this method, such as r...
Machine Learning Prognosis Female Humans RNA, Messenger RNA-Binding Proteins Male Databases, Genetic Adult Neoplastic Stem Cells Transcriptome Adaptor Proteins, Signal Transducing Biomarkers, Tumor Gene Regulatory Networks Leukemia Leukemia, Myeloid, Acute
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DeepDRBP-2L: A New Genome Annotation Predictor for Identifying DNA-Binding Proteins and RNA-Binding Proteins Using Convolutional Neural Network and Long Short-Term Memory.

IEEE/ACM transactions on computational biology and bioinformatics Aug 6, 2021
DNA-binding proteins (DBPs) and RNA-binding proteins (RBPs) are two kinds of crucial proteins, which are associated with various cellule activities and some important diseases. Accurate identification of DBPs and RBPs facilitate both theoretical rese...
RNA-Binding Proteins DNA-Binding Proteins Molecular Sequence Annotation Neural Networks, Computer Algorithms Genomics
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Loop-mediated isothermal amplification (LAMP) and machine learning application for early pregnancy detection using bovine vaginal mucosal membrane.

Biochemical and biophysical research communications Jul 10, 2021
An early and accurate pregnancy diagnosis method is required to improve the reproductive performance of cows. Here we developed an easy pregnancy detection method using vaginal mucosal membrane (VMM) with application of Reverse Transcription-Loop-med...
Vagina CA-125 Antigen Ubiquitins Pregnancy Adaptor Proteins, Signal Transducing Female Gene Expression Molecular Diagnostic Techniques Reproducibility of Results Mucous Membrane Membrane Proteins Machine Learning Cattle Nucleic Acid Amplification Techniques Cytokines RNA-Binding Proteins Sensitivity and Specificity Biomarkers Animals
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Kernel machine SNP set analysis finds the association of BUD13, ZPR1, and APOA5 variants with metabolic syndrome in Tehran Cardio-metabolic Genetics Study.

Scientific reports May 13, 2021
Metabolic syndrome (MetS) is one of the most important risk factors for cardiovascular disease. The 11p23.3 chromosomal region plays a potential role in the pathogenesis of MetS. The present study aimed to assess the association between 18 single nuc...
Male Genetic Predisposition to Disease Polymorphism, Single Nucleotide RNA-Binding Proteins Humans Metabolic Syndrome Machine Learning Membrane Transport Proteins Iran Female Apolipoprotein A-V Cardiometabolic Risk Factors
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Predicting dynamic cellular protein-RNA interactions by deep learning using in vivo RNA structures.

Cell research Feb 23, 2021
Interactions with RNA-binding proteins (RBPs) are integral to RNA function and cellular regulation, and dynamically reflect specific cellular conditions. However, presently available tools for predicting RBP-RNA interactions employ RNA sequence and/o...
RNA-Binding Proteins Transcriptome RNA Deep Learning Binding Sites Humans Protein Binding
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Construction and analysis of a joint diagnosis model of random forest and artificial neural network for heart failure.

Aging Dec 26, 2020
Heart failure is a global health problem that affects approximately 26 million people worldwide. As conventional diagnostic techniques for heart failure have been in practice with various limitations, it is necessary to develop novel diagnostic model...
Heart Failure Transcriptome Humans RNA-Binding Proteins RNA Splicing Factors Neural Networks, Computer Lipocalins Databases, Genetic Heme Oxygenase (Decyclizing) Serpins Machine Learning Receptors, Interleukin
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