Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

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 form...
Conservation of Protein Domains02:26

Conservation of Protein Domains

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 form...
Evolution of New Traits in Microbes01:24

Evolution of New Traits in Microbes

Microorganisms evolve rapidly due to their large population sizes and short generation times, often exhibiting measurable changes within days under laboratory conditions. Natural selection acts on standing genetic variation, enabling the retention and amplification of beneficial traits that confer fitness advantages in changing environments.Adaptive Pigment Regulation in RhodobacterIn Rhodobacter, a genus of purple non-sulfur bacteria, light-harvesting pigments such as bacteriochlorophyll and...
Evolutionary Processes in Microbes01:26

Evolutionary Processes in Microbes

Microbial evolution occurs rapidly due to short generation times and a variety of genetic processes, including horizontal gene transfer, mutation, recombination, and genetic drift. These mechanisms collectively enable microbes to adapt swiftly to changing environments.Horizontal gene transfer (HGT) allows genes to move between different species and occurs through three main mechanisms: conjugation, transformation, and transduction. Conjugation involves direct cell-to-cell contact for DNA...
Convergent Evolution01:54

Convergent Evolution

Evolution shapes the features of organisms over time, ensuring that they are suited for the environments in which they live. Sometimes, selection pressure leads to the rise of similar but unrelated adaptations in organisms with no recent common ancestors, a process known as convergent evolution.
Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Intelligent tool orchestration for rapid mechanistic model prototyping: MCP servers as AI-biology interfaces.

NPJ systems biology and applications·2026
Same author

IMPaCT-Data: A Federated Precision Medicine Infrastructure Associated with Science and Technology in Spain.

Studies in health technology and informatics·2026
Same author

Prediction of plant food allergens using protein embeddings.

Bioinformatics advances·2026
Same author

Commonalities in frailty and psychopathology predict chronotype across severe mental disorders from a comorbidity perspective.

Psychological medicine·2026
Same author

Leveraging training expertise to build capacity in computational personalised medicine.

Bioinformatics advances·2026
Same author

Deep representation learning for temporal inference in cancer omics: a systematic literature review.

Briefings in bioinformatics·2026
Same journal

Genetic analysis of imaging-derived phenotypes.

Nature reviews. Genetics·2026
Same journal

Genetic origins and constraints of evolutionary innovation.

Nature reviews. Genetics·2026
Same journal

Single-cell four-omics with CHARM.

Nature reviews. Genetics·2026
Same journal

Molecular integration of seasonal temperature signals in flowering time control.

Nature reviews. Genetics·2026
Same journal

RBPscan measures protein-RNA interactions in living cells.

Nature reviews. Genetics·2026
Same journal

Revisiting retinal and macular degeneration in the genomics era.

Nature reviews. Genetics·2026
See all related articles

Related Experiment Video

Updated: May 13, 2026

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

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

Published on: July 14, 2015

Emerging methods in protein co-evolution.

David de Juan1, Florencio Pazos, Alfonso Valencia

  • 1Structural Biology and Biocomputing Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.

Nature Reviews. Genetics
|March 6, 2013
PubMed
Summary
This summary is machine-generated.

Co-evolutionary computational methods are advancing rapidly, improving predictions of molecular interactions. Recent breakthroughs in phylogenetic analysis enhance our understanding of protein relationships and residue contacts.

More Related Videos

An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
15:00

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

Published on: August 18, 2023

Related Experiment Videos

Last Updated: May 13, 2026

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

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

Published on: July 14, 2015

An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
15:00

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

Published on: August 18, 2023

Area of Science:

  • Evolutionary Biology
  • Computational Biology
  • Bioinformatics

Background:

  • Co-evolution is crucial for understanding species interactions in ecological networks.
  • Computational methods inspired by co-evolution are used to predict molecular interactions.
  • Recent progress has been made in these predictive computational methods.

Purpose of the Study:

  • To review co-evolution-based computational approaches.
  • To discuss their theoretical underpinnings.
  • To explore potential applications and future developments.

Main Methods:

  • Review of co-evolution-inspired computational techniques.
  • Analysis of advancements in phylogenetic information handling.
  • Examination of methods for disentangling indirect relationships.

Main Results:

  • Significant advances have been made in predicting molecular interactions.
  • Improved capacity to predict protein-protein interactions.
  • Enhanced prediction of contacts between protein residues.

Conclusions:

  • Co-evolutionary computational methods are increasingly powerful tools.
  • Advances in phylogenetic handling and relationship disentanglement are key.
  • These methods hold significant promise for future biological research.