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Related Concept Videos

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

Overview
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

Overview
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
Microbial Phylogeny01:28

Microbial Phylogeny

Understanding the evolutionary relationships among microorganisms is fundamental to microbial ecology and taxonomy. Phylogenetic trees are essential tools for inferring these relationships, relying primarily on comparative analyses of molecular sequences such as DNA, RNA, or proteins. In microbial studies, these trees typically depict the evolutionary paths of diverse bacterial and archaeal species by mapping genetic differences accumulated over time.Phylogenetic trees are composed of tips,...

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A Practical Guide to Phylogenetics for Nonexperts
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A stochastic evolutionary model for protein structure alignment and phylogeny.

Christopher J Challis1, Scott C Schmidler

  • 1Department of Statistical Science, Duke University.

Molecular Biology and Evolution
|June 23, 2012
PubMed
Summary
This summary is machine-generated.

We developed a new model for protein evolution that combines primary and tertiary structure. This approach improves phylogenetic inference and understanding of protein structural changes over time.

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Area of Science:

  • Computational Biology
  • Evolutionary Biology
  • Structural Biology

Background:

  • Traditional phylogenetic models primarily use protein sequence data.
  • Incorporating structural information can enhance evolutionary analyses.
  • Understanding protein structural evolution is crucial for various biological fields.

Purpose of the Study:

  • To develop a stochastic process model for the joint evolution of protein primary and tertiary structure.
  • To enable simultaneous estimation of evolutionary parameters and alignments.
  • To improve phylogenetic inference and understanding of protein structural evolution.

Main Methods:

  • A stochastic process model integrating protein primary and tertiary structure.
  • Classic Links model for insertions and deletions (indels).
  • Standard substitution matrices for mutations.
  • Ornstein-Uhlenbeck process for backbone atom diffusion in 3D space.

Main Results:

  • Simultaneous estimation of evolutionary distances, indel rates, and structural drift rates.
  • Accounting for uncertainty in evolutionary parameter estimation.
  • Enabling phylogenetic inference on extended evolutionary time scales.

Conclusions:

  • The model provides a robust framework for analyzing protein evolution using both sequence and structural data.
  • Structural information significantly enhances phylogenetic inference capabilities.
  • The model serves as a tool for testing evolutionary hypotheses and advancing the study of protein structural evolution.