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Related Concept Videos

Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to form...
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-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...
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...
Conservation of Protein Domains02:26

Conservation of Protein Domains

Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to form...
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.

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Related Experiment Video

Updated: Jun 8, 2026

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

A global optimization algorithm for protein surface alignment.

Paola Bertolazzi1, Concettina Guerra, Giampaolo Liuzzi

  • 1Istituto di Analisi dei Sistemi ed Informatica A. Ruberti, Consiglio Nazionale delle Ricerche, Viale Manzoni, 30, 00185 Rome, Italy.

BMC Bioinformatics
|October 6, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method for aligning protein surfaces to identify similar binding sites. The approach uses global optimization and a new dissimilarity measure, proving effective in detecting existing similarities.

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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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Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions

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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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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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Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions

Published on: January 26, 2024

Area of Science:

  • Computational biology
  • Structural bioinformatics
  • Drug discovery

Background:

  • Comparing and recognizing protein binding sites is crucial for drug design.
  • Current methods often rely on geometry and physico-chemical properties but are not fully solved.
  • Protein surface conformation, size, and composition influence ligand interactions.

Purpose of the Study:

  • To develop a new method for local structural alignment of protein surfaces.
  • To find the optimal transformation for superimposing active regions of two protein structures.
  • To improve the recognition of protein-ligand binding sites.

Main Methods:

  • Utilizes continuous global optimization techniques for structural alignment.
  • Draws inspiration from the Iterative Closest Point (ICP) method for 3D shape registration.
  • Employs a controlled random search and a novel dissimilarity measure.

Main Results:

  • The proposed method effectively superimposes active regions of protein structures.
  • Demonstrates viability through computational experience and comparative analysis.
  • Successfully detects similarity in protein binding sites when present.

Conclusions:

  • The developed method shows promise for identifying similar binding sites.
  • Future work includes comprehensive evaluation on large datasets and binding site classification.
  • Enhances capabilities in protein structure comparison for drug design.