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Related Concept Videos

Protein Families02:47

Protein Families

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Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism.   Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members.   If these new proteins contain similar amino acids in key...
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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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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.
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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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Protein and Protein Structure02:15

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Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
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A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
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PS-GO parametric protein search engine.

Yanlin Mi1,2, Stefan-Bogdan Marcu1, Sabin Tabirca1,3

  • 1School of Computer Science and Information Technology, University College Cork, Cork, Ireland.

Computational and Structural Biotechnology Journal
|April 18, 2024
PubMed
Summary
This summary is machine-generated.

PS-GO is a novel parametric protein search engine designed to effectively retrieve, compare, and understand protein structures. It leverages computational biology and data science for enhanced protein engineering and biotechnology applications.

Keywords:
Parametric protein designParametric protein searchProtein parameters databaseProtein search engineProtein topology

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Area of Science:

  • Computational Biology
  • Bioinformatics
  • Data Science

Background:

  • Rapid growth in protein data necessitates advanced tools for retrieval and comprehension.
  • Existing methods struggle to effectively manage and analyze large-scale protein structural information.

Purpose of the Study:

  • To develop an innovative parametric protein search engine (PS-GO) for maximizing the utilization of protein data.
  • To enable effective retrieval, comparison, and deep understanding of protein structures and functions.

Main Methods:

  • Integration of computational biology, bioinformatics, and data science principles.
  • Development of a parametric protein design approach using key parameters (amino acid sequence, side chain angle, solvent accessibility).
  • Leveraging computationally derived parameters for predicting protein behavior.

Main Results:

  • PS-GO effectively manages large-scale data and accurately predicts and compares protein structures and functions.
  • Demonstrated potential for enhancing enzyme activity, improving antibody affinity, and designing novel functional proteins.
  • Provided a robust theoretical foundation and practical guidelines for protein engineering.

Conclusions:

  • PS-GO represents a significant advancement in protein data analysis and utilization.
  • Parametric protein design offers a powerful strategy for developing proteins with tailored biological functions.
  • The tool facilitates progress in biotechnology and protein engineering fields.