RPI-Pred statistics

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Citations per year

Number of citations per year for the bioinformatics software tool RPI-Pred
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Tool usage distribution map

This map represents all the scientific publications referring to RPI-Pred per scientific context
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RPI-Pred specifications

Information


Unique identifier OMICS_07245
Name RPI-Pred
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability Stable
Maintained Yes

Publication for RPI-Pred

RPI-Pred citations

 (5)
library_books

LPI NRLMF: lncRNA protein interaction prediction by neighborhood regularized logistic matrix factorization

2017
Oncotarget
PMCID: 5732780
PMID: 29262614
DOI: 10.18632/oncotarget.21934

[…] ate each RNA-protein pair by matrix multiplication to predict lncRNA-protein interactions. In 2015, Suresh et al. [] introduced a sequence-based and structure-based RNA-protein interaction predictor (RPI-Pred), a new method based on support vector machine to predict protein-RNA interaction pairs. Later, Li et al. [] proposed a computational method called LPIHN, using known lncRNA-protein interacti […]

library_books

A Brief Review of RNA–Protein Interaction Database Resources

2017
Noncoding RNA
PMCID: 5832006
PMID: 29657278
DOI: 10.3390/ncrna3010006

[…] RNA–Protein interaction predictor (RPI-Pred) [] is a ncRNA–Protein interaction prediction tool based on sequence and structural information of RNA and protein. The web server can not only predict RNA–Protein interactions using the high […]

library_books

A Bipartite Network based Method for Prediction of Long Non coding RNA–protein Interactions

2016
PMCID: 4792848
PMID: 26917505
DOI: 10.1016/j.gpb.2016.01.004

[…] oach, named lncPro, which uses secondary structure, hydrogen bond, van der Waals force features, and yields the prediction score using Fisher’s linear discriminate method. Later on, an approach named RPI-Pred was developed by Suresh et al. , they trained SVM-based approach, by extracting sequence and high-order 3D structure features of lncRNAs and proteins.All the aforementioned methods are based […]

library_books

Conserved Molecular Underpinnings and Characterization of a Role for Caveolin 1 in the Tumor Microenvironment of Mature T Cell Lymphomas

2015
PLoS One
PMCID: 4643970
PMID: 26566034
DOI: 10.1371/journal.pone.0142682

[…] [] of PB structure prediction was used identical to Suresh et al. []. Per the literature, lncPro predictions were deemed positive for interaction scores ≥ 50, RPISeq for interaction scores ≥ 0.5, and RPI-Pred supplied text-based interpretations. […]

library_books

Conserved Functional Motifs and Homology Modeling to Predict Hidden Moonlighting Functional Sites

2015
Front Bioeng Biotechnol
PMCID: 4460814
PMID: 26106597
DOI: 10.3389/fbioe.2015.00082

[…] d MDockPP (Huang and Zou, ) that predict protein–protein docking; ITScore-PR, which uses an iterative method based on experimentally determined RNA–protein complex interactions (Huang and Zou, ); and RPI-Pred that predicts protein–RNA interactions based on sequence and structural information (Suresh et al., ). All such approaches provide predictions and it is important to undertake appropriate mea […]


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RPI-Pred institution(s)
Department of Radiology, Wake Forest University Health Science, Medical Center Boulevard, Winston-Salem, NC, USA

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