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Related Concept Videos

Protein Folding01:25

Protein Folding

Proteins are chains of amino acids linked together by peptide bonds. Upon synthesis, a protein folds into a three-dimensional conformation, critical to its biological function. Interactions between its constituent amino acids guide protein folding, and hence the protein structure is primarily dependent on its amino acid sequence.
Protein Structure Is Critical to Its Biological Function
Proteins perform a wide range of biological functions such as catalyzing chemical reactions, providing...
Protein Folding01:22

Protein Folding

Overview
Protein Folding01:22

Protein Folding

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Protein Organization01:13

Protein Organization

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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.
Protein Organization01:13

Protein Organization

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Updated: Jul 14, 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

Protein sequence design based on the topology of the native state structure.

Anupam Nath Jha1, G K Ananthasuresh, Saraswathi Vishveshwara

  • 1Molecular Biophysics Unit, Indian Institute of Science, Bangalore-560 012, India.

Journal of Theoretical Biology
|June 5, 2007
PubMed
Summary

This study introduces an efficient computational method for protein design by analyzing protein topology. The new approach ranks residue sites effectively, enabling faster and more accurate sequence design for specific structures.

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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

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Area of Science:

  • Computational biology
  • Protein structure prediction
  • Bioinformatics

Background:

  • Designing protein sequences for a target structure is computationally expensive.
  • Traditional methods involve exhaustive search or large-scale sequence space exploration.
  • Protein topology offers valuable information for efficient sequence design.

Purpose of the Study:

  • To develop a computationally efficient method for ranking residue sites in protein structures.
  • To enable the design of sequences for a chosen protein structure.
  • To improve upon existing topology-based methods for protein sequence design.

Main Methods:

  • Utilized graph theory to represent protein interactions, focusing on topology.
  • Developed a novel node weighting scheme based on primary and secondary connections.
  • Validated the method using HP lattice models and real protein structures.
  • Compared the new scheme's performance and computational cost against previous methods.

Main Results:

  • The new method efficiently ranks residue sites for sequence design.
  • It demonstrates superior performance and significantly lower computational cost compared to prior schemes.
  • The approach successfully identifies low-energy sequences for given structures and residue compositions.
  • An optimization procedure was added to handle rare cases where the primary method falls short.

Conclusions:

  • Protein topology is a powerful feature for inverse folding and sequence design.
  • The developed method offers a computationally efficient and effective solution for designing protein sequences.
  • This approach advances the field of computational protein design, making it more accessible and scalable.