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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.
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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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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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Gene families consist of groups of genes proposed to have originated from a common ancestor. Typically these arise through events in which a gene or genes are mistakenly duplicated during cell division. Unlike their parent genes (which are subject to selection pressure to maintain function), these gene copies do not need to preserve their sequences and may evolve at a relatively faster rate.
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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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StructMAn 2.0 Web: a web server for structural annotation of protein sequences and mutations.

Alper Yurtseven1,2, Sebastian Keller1, Pascal Hirsch3

  • 1Research Group Drug Bioinformatics, Department Drug Bioinformatics, Helmholtz Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Centre for Infection Research (HZI), Campus E8.1, 66123 Saarbrücken, Saarland, Germany.

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StructMAn provides detailed protein structural annotation by analyzing 3D structures and mutations. The StructMAn 2.0 Web server offers a user-friendly interface for accessing these insights, aiding in protein analysis and machine learning applications.

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Area of Science:

  • Structural biology
  • Bioinformatics
  • Computational biology

Background:

  • Protein structure and function are intrinsically linked.
  • Understanding the impact of mutations on protein structure is crucial for disease research.
  • Computational tools are needed to analyze large-scale structural data.

Purpose of the Study:

  • To introduce StructMAn, a method for comprehensive protein structural annotation.
  • To provide a user-friendly web server (StructMAn 2.0 Web) for accessing StructMAn functionalities.
  • To enable the generation of position-specific structural features for machine learning.

Main Methods:

  • StructMAn maps, aligns, and aggregates data from experimental and predicted protein structures.
  • It analyzes protein sequences and specific mutations.
  • Data from homologous proteins are integrated for enhanced annotation.

Main Results:

  • StructMAn provides structural annotation for every amino acid position.
  • Detailed structural analysis of proteins and their variants is enabled.
  • High-quality, position-specific structural features are generated.

Conclusions:

  • StructMAn offers a powerful approach for protein structural annotation and analysis.
  • The StructMAn 2.0 Web server democratizes access to these advanced computational tools.
  • The generated features can significantly benefit machine learning applications in structural biology.