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Conserved Binding Sites

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...

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Related Experiment Video

Updated: Jun 8, 2025

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

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

Published on: July 2, 2010

An Integrated TCN-CrossMHA Model for Predicting circRNA-RBP Binding Sites.

Yajing Guo¹, Xiujuan Lei², Shuyu Li¹

¹School of Computer Science, Shaanxi Normal University, Xi'an, 710119, China.

Interdisciplinary Sciences, Computational Life Sciences

|November 6, 2024

Summary

This summary is machine-generated.

This study introduces circTCA, a new computational method using temporal convolutional networks and attention mechanisms to accurately predict binding sites between circular RNAs (circRNAs) and RNA-binding proteins (RBPs). This advancement aids in understanding disease mechanisms and developing targeted therapies.

Keywords:

Circular RNA Cross multi-head attention RNA binding protein Temporal convolutional network

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iCLIP - Transcriptome-wide Mapping of Protein-RNA Interactions with Individual Nucleotide Resolution

Published on: April 30, 2011

Related Experiment Videos

Last Updated: Jun 8, 2025

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

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

Published on: July 2, 2010

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

Published on: October 21, 2022

iCLIP - Transcriptome-wide Mapping of Protein-RNA Interactions with Individual Nucleotide Resolution

iCLIP - Transcriptome-wide Mapping of Protein-RNA Interactions with Individual Nucleotide Resolution

Published on: April 30, 2011

Area of Science:

Computational Biology
Genomics
Bioinformatics

Background:

Circular RNAs (circRNAs) interact with RNA-binding proteins (RBPs), influencing disease development.
Accurate prediction of circRNA-RBP binding sites is crucial for understanding disease mechanisms and developing therapeutic strategies.

Purpose of the Study:

To develop a novel computational approach, circTCA, for predicting circRNA-RBP binding sites.
To enhance the understanding of circRNA-RBP interactions for potential disease treatment applications.

Main Methods:

Utilized temporal convolutional networks (TCN) and a cross multi-head attention mechanism.
Employed two distinct encoding strategies for circRNA sequences.
Implemented global expectation pooling and a fully connected layer for classification.

Main Results:

The proposed circTCA method demonstrated effectiveness in predicting circRNA-RBP binding sites.
Comparative analysis against five other methods and ablation experiments confirmed circTCA's superior performance.
Feature visualization and motif analysis validated the model's predictive capabilities.

Conclusions:

circTCA is an effective tool for predicting circRNA-RBP binding sites.
The developed method offers valuable insights into molecular interactions relevant to disease pathogenesis.
This approach can contribute to the development of novel therapeutic strategies targeting circRNA-RBP interactions.