DeepBind [45] was one of the first methods which employed deep learning for the prediction of protein-binding from nucleotide sequences, demonstrating ground-break on bothin vitroandin vivoprotein-RNA interaction datasets. DeepBind makes use of a single 1D Convolutional layer, which consists of a ...
In particular, they identify the importance of each feature in determining the specificity of protein–RNA interaction, as well as the contribution of various hybrid features in the prediction.doi:10.1002/9781118567869.ch8Pan, YiWang, Jianxin
SOFB is a comprehensive ensemble deep learning approach for elucidating and characterizing protein-nucleic-acid-binding residues Article Open access 03 June 2024 Amalgamation of 3D structure and sequence information for protein–protein interaction prediction Article Open access 05 November 2020 Introducti...
Kumar M, Gromiha M, Raghava G: Prediction of RNA binding sites in a protein using SVM and PSSM profile. Proteins: Structure, Function, and Bioinformatics 2008, 71:189-194.Manish Kumar, M. Michael Gromiha, and G. P S Raghava. Prediction of rna binding sites in a protein using svm and...
Bioinformatics RNA-protein interactions| Analysis of binding interfaces and prediction of protein binding sites in RNA PURDUE UNIVERSITY Michael R. GribskovDaisuke Kihara GuptaAditiRNA-protein interactions are vital to many biological processes such as translation and splicing. Analysis of the binding ...
2024年1月9日,清华大学张强锋、北京大学汪阳明、席建忠研究团队合作,在Nature Genetics期刊发表了题为:Computational prediction and experimental validation identify functionally conserved lncRNAs from zebrafish to human 的研究论文。 该工作开发了一套基于机器学习的新型计算方法——lncHOME,在包括人类、小鼠、斑马鱼在...
2024年1月9日,清华大学张强锋、北京大学汪阳明、席建忠研究团队合作在《自然×遗传》(Nature genetics)杂志上发表题为“计算预测和实验验证鉴定人类和斑马鱼之间功能保守的长非编码RNA”(Computational prediction and experimental validation identify functionally conserved lncRNAs from zebrafish to human)的研究论文。该工...
To effectively extract the structure features of RNA, we propose an RNA secondary structure representation network (RNASSR-Net) based on graph convolutional neural network (GCN) and convolution neural network (CNN) for RBP binding prediction. RNASSR-Net constructs the graph model derived from the ...
circRNA还可以与RNA结合蛋白(RNA binding protein, RBP)结合,充当RBP的“海绵”来发挥功能作用[21]。常利用RNA免疫共沉淀结合高通量测序技术(RNA-immunoprecipitation and high-throughput sequencing, RIP-seq)检测与特定RBP相互作用的RNA,通过甘油密度梯度离心实验寻找circRNA与...
2024年1月9日,清华大学/北京生物结构前沿研究中心张强锋、北京大学汪阳明、席建忠研究团队合作在Nature genetics上发表题为Computational prediction and experimental validation identify functionally conserved lncRNAs from zebrafish to human(...