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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...
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 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,...
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...

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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 gradient-directed Monte Carlo approach for protein design.

Xiangqian Hu1, Hao Hu, David N Beratan

  • 1Department of Chemistry, French Family Science Center, Duke University, Durham, North Carolina 27708-0346, USA.

Journal of Computational Chemistry
|February 27, 2010
PubMed
Summary

We developed gradient-directed Monte Carlo (GDMC) sampling, a new strategy to optimize protein sequences for specific structures. GDMC sampling significantly improves protein design efficiency by better exploring sequence possibilities.

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Area of Science:

  • Computational biology
  • Protein engineering
  • Biophysics

Background:

  • Protein design relies on exploring vast sequence spaces to achieve desired structures and functions.
  • Current methods like classical Monte Carlo sampling can be inefficient in exploring these complex spaces.

Purpose of the Study:

  • To introduce and evaluate a novel global optimization strategy, gradient-directed Monte Carlo (GDMC) sampling.
  • To enhance the efficiency of protein sequence optimization for target structures using RosettaDesign.

Main Methods:

  • Development of the gradient-directed Monte Carlo (GDMC) sampling algorithm.
  • Application of GDMC within the RosettaDesign framework for protein sequence optimization.
  • Comparison of GDMC performance against classical Monte Carlo search protocols.

Main Results:

  • GDMC sampling demonstrates significant improvements in exploring protein sequence space.
  • The strategy enhances efficiency for both fixed backbone conformations and simultaneous sequence-structure optimization.
  • GDMC leads to more effective protein design outcomes.

Conclusions:

  • Gradient-directed Monte Carlo (GDMC) sampling is an effective new strategy for protein design.
  • GDMC enhances the efficiency and scope of sequence space exploration in computational protein engineering.
  • This method offers a significant advancement for optimizing protein sequences toward specific structural targets.