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

Mutations01:39

Mutations

14.1K
14.1K
Mutations01:35

Mutations

45.8K
Mutations are changes in the sequence of DNA. These changes can occur spontaneously or they can be induced by exposure to environmental factors. Mutations can be characterized in a number of different ways: whether and how they alter the amino acid sequence of the protein, whether they occur over a small or large area of DNA, and whether they occur in somatic cells or germline cells.
Chromosomal Alterations Are Large-Scale Mutations
While point mutations are changes in a single nucleotide in...
45.8K
Mutations01:39

Mutations

98.1K
Overview
98.1K
Mutations in Microorganisms01:18

Mutations in Microorganisms

1.1K
Mutations are heritable changes in an organism’s genome involving alterations in the base sequence of DNA or RNA. These changes can influence cellular processes and phenotypic traits, potentially transforming the unaltered wild type into a mutant form. Such changes, termed forward mutations, are pivotal in shaping the genetic diversity of organisms.RNA viruses exhibit the highest mutation rates due to the absence of robust proofreading mechanisms during genome replication. In contrast,...
1.1K
Point and Frameshift Mutations01:30

Point and Frameshift Mutations

1.7K
Point mutations are genetic alterations involving the change of a single nucleotide base pair in DNA. Depending on how the alteration affects protein synthesis, they can lead to various consequences.Point mutations fall into the following types:Silent mutations occur when a nucleotide change does not alter the amino acid sequence due to the redundancy of the genetic code. For instance, changing ACC to ACA still encodes threonine, leaving the protein function unaffected. This occurs because...
1.7K
Spontaneous and Induced Mutations01:30

Spontaneous and Induced Mutations

3.3K
Spontaneous mutations arise infrequently during DNA replication due to errors in the process. A key factor behind these errors is tautomeric shifts in nitrogenous bases, where bases transition from keto to enol forms or amino to imino forms. This shift can alter base-pairing rules, leading to mutations. Additionally, reactive oxygen species (ROS) arising from aerobic metabolism can damage DNA, resulting in depurination (loss of a purine base) or depyrimidination (loss of a pyrimidine base).
3.3K

You might also read

Related Articles

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

Sort by
Same author

"Too soon to tell"? The potential of tools like AggrescanAI for novel drug discovery and development.

Expert opinion on drug discovery·2026
Same author

AggrescanAI: Prediction of Aggregation-Prone Regions Using Contextualized Embeddings.

Journal of molecular biology·2026
Same author

Insect-specific RNA viruses detection in Field-Caught Aedes aegypti mosquitoes from Argentina using NGS technology.

PLoS neglected tropical diseases·2025
Same author

Unveiling the Complexity of cis-Regulation Mechanisms in Kinases: A Comprehensive Analysis.

Proteins·2024
Same author

Cellular prion protein acts as mediator of amyloid beta uptake by caveolin-1 causing cellular dysfunctions in vitro and in vivo.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2024
Same author

Charged Amino Acids in the Transmembrane Helix Strongly Affect the Enzyme Activity of Aromatase.

International journal of molecular sciences·2024
Same journal

Correction to 'New origin firing is inhibited by APC/CCdh1 activation in S-phase after severe replication stress'.

Nucleic acids research·2026
Same journal

VeloRM: disentangling pre- and post-splicing RNA modification dynamics at single-cell resolution.

Nucleic acids research·2026
Same journal

Accessibility of telomeric overhangs to stabilizing small-molecule ligands.

Nucleic acids research·2026
Same journal

Multivalent interactions mediate SNAIL transcription factor stimulation of the nucleosome deacetylase activity of the CoREST complex.

Nucleic acids research·2026
Same journal

Genome-wide mapping of DNA G-quadruplexes in Trypanosoma brucei chromatin reveals enrichment in coding regions and transcription start sites.

Nucleic acids research·2026
Same journal

Correction to 'The Gene Ontology knowledgebase in 2026'.

Nucleic acids research·2026
See all related articles

Related Experiment Video

Updated: Apr 11, 2026

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
06:41

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

14.5K

I-COMS: Interprotein-COrrelated Mutations Server.

Javier Iserte1, Franco L Simonetti1, Diego J Zea1

  • 1Fundación Instituto Leloir. Av. Patricias Argentinas 435, C1405BWE, Buenos Aires, Argentina.

Nucleic Acids Research
|June 3, 2015
PubMed
Summary
This summary is machine-generated.

Predicting protein-protein interfaces is crucial. The I-COMS server aids this by comparing four covariation methods using multiple sequence alignments (MSAs) for enhanced interprotein contact detection.

More Related Videos

Mapping Dysfunctional Protein-Protein Interactions in Disease
09:39

Mapping Dysfunctional Protein-Protein Interactions in Disease

Published on: October 24, 2025

1.1K
Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms
08:46

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms

Published on: December 9, 2015

11.3K

Related Experiment Videos

Last Updated: Apr 11, 2026

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
06:41

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

14.5K
Mapping Dysfunctional Protein-Protein Interactions in Disease
09:39

Mapping Dysfunctional Protein-Protein Interactions in Disease

Published on: October 24, 2025

1.1K
Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms
08:46

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms

Published on: December 9, 2015

11.3K

Area of Science:

  • Computational biology
  • Bioinformatics
  • Structural biology

Background:

  • Detecting protein-protein interfaces is vital for understanding biological processes.
  • Multiple sequence alignments (MSAs) are used for interprotein contact prediction.
  • Existing computational methods for this task show discrepancies, lacking a consensus on optimal performance.

Purpose of the Study:

  • To present I-COMS (interprotein COrrelated Mutations Server), a novel computational tool.
  • To enable comparison of different covariation methods for interprotein contact prediction.
  • To provide a user-friendly platform for analyzing and visualizing correlated mutations.

Main Methods:

  • I-COMS estimates residue covariation between proteins using four distinct methods.
  • The server automatically generates necessary MSAs for analysis.
  • It offers graphical and interactive outputs, including circos representations for covariating positions.

Main Results:

  • I-COMS facilitates direct comparison between any two or all four covariation methodologies.
  • It provides matrix visualizations of scores and density plots for score distributions.
  • Users can download all results, including MSAs, scores, and graphics, for further analysis.

Conclusions:

  • I-COMS addresses the need for a standardized approach to interprotein contact prediction.
  • The tool enhances the comparison and visualization of results from multiple covariation methods.
  • It serves as a valuable resource for researchers in structural biology and drug discovery.