Jove
Visualize
Contact Us

Related Concept Videos

Protein-protein Interfaces02:04

Protein-protein Interfaces

14.4K
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...
14.4K
Protein Networks02:26

Protein Networks

4.5K
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,...
4.5K
Conserved Binding Sites01:49

Conserved Binding Sites

5.0K
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...
5.0K
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

45.2K
VSEPR Theory for Determination of Electron Pair Geometries
45.2K
Ligand Binding Sites02:40

Ligand Binding Sites

14.9K
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...
14.9K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Correlation between serum ANKRD22 and SERPING1 levels and drug resistance in pulmonary tuberculosis: A retrospective cross-sectional study.

Medicine·2025
Same author

Exploring the Correlation Between the Serum Homocysteine to Apolipoprotein A1 Ratio and the Severity of Coronary Artery Disease Based on Multicenter Data: A Novel Risk Assessment Parameter.

Journal of inflammation research·2025
Same author

Numerical Simulation of Combustion Characteristics in a Small-Scale Biomass Chain Grate Furnace under Different Primary Air Conditions.

ACS omega·2025
Same author

Flow Behavior of Nanoparticle Agglomerates in a Fluidized Bed Simulated with Porous-Structure-Based Drag Laws.

Nanomaterials (Basel, Switzerland)·2024
Same author

Predicting lncRNA-protein interactions through deep learning framework employing multiple features and random forest algorithm.

BMC bioinformatics·2024
Same author

Preferential transport activity of DkDTX5/MATE5 affects the formation of different astringency in persimmon.

Journal of integrative plant biology·2023
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jan 16, 2026

Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions
10:52

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

Published on: September 28, 2017

8.5K

A deep learning approach based on molecular graph features and residual blocks to predict interaction sites between

Niannian Liu1, Yangsen Zhang2

  • 1Jiangxi Science and Technology Normal University, No. 589 Xuefu Avenue, Hongjiao Zhou, Nanchang City, Jiangxi Province, China.

Biochemical and Biophysical Research Communications
|September 25, 2025
PubMed
Summary

MGFCRSites is a new deep learning tool that predicts RNA-binding protein sites on circular RNAs (circRNAs). It effectively models circRNA molecular structures, advancing the study of gene regulation and disease research.

Keywords:
Binding sitesCircRNADeep learningPredictRBPSMILE

More Related Videos

mRNA Interactome Capture from Plant Protoplasts
12:29

mRNA Interactome Capture from Plant Protoplasts

Published on: July 28, 2017

9.6K
PAR-CliP - A Method to Identify Transcriptome-wide the Binding Sites of RNA Binding Proteins
12:24

PAR-CliP - A Method to Identify Transcriptome-wide the Binding Sites of RNA Binding Proteins

Published on: July 2, 2010

54.2K

Related Experiment Videos

Last Updated: Jan 16, 2026

Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions
10:52

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

Published on: September 28, 2017

8.5K
mRNA Interactome Capture from Plant Protoplasts
12:29

mRNA Interactome Capture from Plant Protoplasts

Published on: July 28, 2017

9.6K
PAR-CliP - A Method to Identify Transcriptome-wide the Binding Sites of RNA Binding Proteins
12:24

PAR-CliP - A Method to Identify Transcriptome-wide the Binding Sites of RNA Binding Proteins

Published on: July 2, 2010

54.2K

Area of Science:

  • Computational Biology
  • Molecular Biology
  • Bioinformatics

Background:

  • Circular RNAs (circRNAs) are crucial in biological processes and disease.
  • RNA-binding protein (RBP) interactions are key to gene regulation and RNA modifications.
  • Existing computational methods for RNA-RBP binding sites primarily focus on linear RNAs, neglecting circRNAs.

Purpose of the Study:

  • To develop a novel deep learning framework, MGFCRSites, for predicting RBP binding sites on circRNAs.
  • To address the underexplored area of RBP-circRNA interactions.
  • To provide a robust computational tool for analyzing RBP-circRNA interactions.

Main Methods:

  • Encoding circRNA molecular structures into ASCII representations.
  • Constructing molecular graphs for circRNAs using graph convolutional network principles.
  • Utilizing residual blocks for hierarchical feature extraction and a prediction module for binding site identification.

Main Results:

  • MGFCRSites achieved high performance (AUC: 0.9663) across 37 benchmark datasets.
  • The framework effectively captures chemical structural patterns of circRNAs.
  • MGFCRSites outperforms existing methods in predicting RBP binding sites on circRNAs.

Conclusions:

  • MGFCRSites is the first computational method to explicitly model circRNA chemical molecular structures for binding site prediction.
  • The tool offers a robust solution for analyzing RBP-circRNA interactions.
  • This research advances the understanding of gene regulatory mechanisms and disease research.