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Related Concept Videos

Protein-protein Interfaces02:04

Protein-protein Interfaces

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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...
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Conservation of Protein Domains Over Different Proteins02:26

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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...
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Protein Organization01:24

Protein Organization

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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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Protein Networks02:26

Protein Networks

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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.
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Conserved Binding Sites01:49

Conserved Binding Sites

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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...
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Protein Folding01:25

Protein Folding

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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
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Updated: Jul 28, 2025

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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Computational Protein Design - Where it goes?

Binbin Xu1, Yingjun Chen1, Weiwei Xue1

  • 1Chongqing Key Laboratory of Natural Product Synthesis and Drug Research, School of Pharmaceutical Sciences, Chongqing University, Chongqing 401331, China.

Current Medicinal Chemistry
|June 5, 2023
PubMed
Summary
This summary is machine-generated.

Designing functional proteins is crucial for various applications. This review explores computational protein design methods, including machine learning and molecular modeling, to overcome limitations of directed evolution and discover novel protein sequences.

Keywords:
Protein designcomputational protein design.deep learningmachine learningmolecular modelingneural networks

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Area of Science:

  • Protein engineering
  • Computational biology
  • Biotechnology

Background:

  • Proteins regulate essential biological processes.
  • Functional proteins are scarce in vast sequence spaces.
  • Directed evolution has advanced protein modification but has limitations.

Purpose of the Study:

  • To review recent advances in computational protein design.
  • To highlight the applicability and limitations of different computational approaches.
  • To guide the development of more functional proteins.

Main Methods:

  • Data-driven machine learning for protein sequence prediction.
  • Physics-based molecular modeling for protein structure and function analysis.
  • Integration of computational methods with experimental techniques.

Main Results:

  • Computational methods accelerate the discovery of functional proteins.
  • Machine learning and molecular modeling offer complementary strengths.
  • These approaches address limitations of traditional methods like directed evolution.

Conclusions:

  • Computational protein design is essential for meeting the demand for novel functional proteins.
  • A combination of machine learning and molecular modeling shows great promise.
  • Further research is needed to fully realize the potential of computational protein design.