RNA-Protein Interaction Prediction (RPISeq). Fixating on Computational tools for investigating RNA-protein interaction partners. J comput Sci Syst Biol 6:182-187 · Becoming the Best. RPISeq Version
Deciphering cell–cell interactions and communication from gene
*Computational identification of protein-protein interactions in *
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Contacts by Research Area
*Protein–DNA/RNA Interactions: An Overview of Investigation Methods *
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RPINBASE: An online toolbox to extract features for predicting RNA
*Modelling peptide–protein complexes: docking, simulations and *
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Investigating RNA–RNA interactions through computational and
*RNA‐Selective Small‐Molecule Ligands: Recent Advances in Live‐Cell *
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Recent Advances in Mass Spectrometry-Based Protein Interactome
*Recent advances in predicting and modeling protein–protein *
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An integrative network-driven pipeline for systematic identification of
*Frontiers | Computational Biology and Machine Learning Approaches *
An integrative network-driven pipeline for systematic identification of. Approximately RNA-Protein interaction prediction (RPISeq) tool [35]. The tool Computational tools for investigating RNA-protein interaction partners., Frontiers | Computational Biology and Machine Learning Approaches , Frontiers | Computational Biology and Machine Learning Approaches
Drena Dobbs | Genetics, Development, and Cell Biology
*Exploring protein-protein interactions at the proteome level *
Drena Dobbs | Genetics, Development, and Cell Biology. Proteins Feb;82(2):250-67. Muppirala, UK, Lewis, BA, Dobbs, D (2013) Computational tools for investigating RNA-protein interaction partners. J Comput Sci , Exploring protein-protein interactions at the proteome level , Exploring protein-protein interactions at the proteome level
Computational tools to study RNA-protein complexes - PMC
Frontiers | Computational tools to study RNA-protein complexes
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