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Related Concept Videos

Protein-protein Interfaces02:04

Protein-protein Interfaces

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a polypeptide...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Conserved Binding Sites01:49

Conserved Binding Sites

Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...
Ligand Binding Sites02:40

Ligand Binding Sites

Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
Proteomics01:33

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...
Ribosome Profiling02:24

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique helps...

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An Optimized Quantitative Pull-Down Analysis of RNA-Binding Proteins Using Short Biotinylated RNA
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An Optimized Quantitative Pull-Down Analysis of RNA-Binding Proteins Using Short Biotinylated RNA

Published on: February 17, 2023

Computational methods for prediction of protein-RNA interactions.

Tomasz Puton1, Lukasz Kozlowski, Irina Tuszynska

  • 1Bioinformatics Laboratory, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University, ul. Umultowska 89, PL-61-614 Poznan, Poland. tputon@genesilico.pl

Journal of Structural Biology
|October 25, 2011
PubMed
Summary

Predicting protein-RNA interactions computationally aids structural biology. A new meta-predictor combining top sequence-based methods offers improved accuracy for identifying binding sites and guiding experiments.

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Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions
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Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions

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Area of Science:

  • Structural Biology
  • Computational Biology
  • Molecular Biology

Background:

  • Determining protein-RNA complex structures experimentally is challenging.
  • Computational methods offer an alternative for predicting protein-RNA interactions.
  • Accurate predictions can guide functional hypotheses and experimental design.

Purpose of the Study:

  • To review existing computational methods for predicting protein-RNA interactions.
  • To evaluate the performance of sequence-based and structure-based prediction methods.
  • To introduce a novel meta-predictor for enhanced protein-RNA interaction prediction.

Main Methods:

  • Review of 10 protein-RNA interaction prediction methods (7 sequence-based, 3 structure-based).
  • Development and evaluation of a meta-predictor integrating top sequence-based predictors.
  • Description of 5 protein-RNA docking methods.

Main Results:

  • The developed meta-predictor demonstrated superior performance compared to individual primary predictors.
  • Identified strengths and limitations of current computational approaches.
  • Highlighted the utility of computational predictions in identifying key residues.

Conclusions:

  • Computational prediction of protein-RNA interactions is a valuable tool in structural biology.
  • The meta-predictor offers improved accuracy for identifying RNA-binding sites.
  • Further development of computational methods is essential for advancing the field.