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Updated: Jun 16, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

Towards high performance computing for molecular structure prediction using IBM Cell Broadband Engine--an

S P T Krishnan¹, Sim Sze Liang, Bharadwaj Veeravalli

¹Institute for Infocomm Research, 1 Fusionopolis Way, #21-01, Connexis South Tower, Singapore 138632. krishnan@i2r.a-star.edu.sg

BMC Bioinformatics

|February 4, 2010

Summary

This summary is machine-generated.

Parallelizing RNA secondary structure prediction using the IBM Cell Broadband Engine significantly speeds up computation for longer sequences. This approach leverages multi-core processors for more sophisticated RNA analysis.

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Area of Science:

Computational Biology
Bioinformatics
Genomics

Background:

RNA secondary structure prediction is computationally intensive, especially with pseudo-knots.
Existing Dynamic Programming (DP) solutions struggle with increasing sequence lengths.
Parallelization offers a viable solution for handling large-scale RNA structure prediction.

Purpose of the Study:

To parallelize an existing RNA secondary structure prediction algorithm using the IBM Cell Broadband Engine.
To investigate different parallelism strategies (C-Par, D-Par, H-Par) on a multi-core platform.
To analyze the performance and speed-up gains of parallelized DP algorithms.

Main Methods:

Exploited the parallelism capabilities of the IBM Cell Broadband Engine.
Developed three implementation strategies: C-Par, D-Par, and H-Par.
Executed experiments on a Sony PlayStation 3 (PS3) utilizing its Cell chip.

Main Results:

Parallelized DP algorithms efficiently handle longer RNA sequences compared to single-core methods.
Demonstrated significant speed-up gains by exploiting inherent parallelism.
Highlighted the advantages of multi-core platforms for complex RNA structure prediction.

Conclusions:

The parallelized DP approach shows promising speed-up performance, particularly for long sequences.
This study represents a novel application of the IBM Cell Broadband Engine for DP-based RNA structure prediction.
Encourages the use of multi-core platforms for developing advanced RNA secondary structure prediction methodologies.