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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 Organization01:24

Protein Organization

Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence.
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...
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,...

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Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
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Parallel-ProBiS: fast parallel algorithm for local structural comparison of protein structures and binding sites.

Janez Konc1, Matjaž Depolli, Roman Trobec

  • 1Laboratory for Molecular Modeling, National Institute of Chemistry, Hajdrihova 19, SI-1000, Ljubljana, Slovenia.

Journal of Computational Chemistry
|June 22, 2012
PubMed
Summary
This summary is machine-generated.

A new parallel algorithm, Parallel-ProBiS, speeds up the detection of similar protein binding sites. It achieves significant speedups on computer clusters, especially for larger proteins, enhancing structural comparison efficiency.

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Area of Science:

  • Computational biology
  • Bioinformatics
  • Structural bioinformatics

Background:

  • The ProBiS algorithm facilitates local structural comparison of protein surfaces.
  • It identifies proteins with shared binding sites by comparing query proteins against a nonredundant structure database.

Purpose of the Study:

  • To develop and present a parallelized version of the ProBiS algorithm, named Parallel-ProBiS.
  • To enhance the efficiency of detecting similar binding sites in proteins using distributed computing.

Main Methods:

  • Implementation of a parallelized algorithm, Parallel-ProBiS, for distributed computing environments.
  • Performance evaluation of Parallel-ProBiS on computer clusters to measure speedup and scalability.

Main Results:

  • Parallel-ProBiS demonstrates near-ideal speedup scaling with computing cores up to approximately 64 cores.
  • Improved scaling performance was observed for larger query proteins.
  • A maximum speedup of 180 was achieved on a cluster of 248 cores for a large protein (approx. 600 amino acids).

Conclusions:

  • Parallel-ProBiS significantly accelerates the identification of similar protein binding sites.
  • The parallel algorithm offers efficient computational performance for structural bioinformatics tasks.
  • The source code is freely available for academic use, promoting further research.