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 Experiment Videos

MAGOS: multiple alignment and modelling server.

N Garnier1, A Friedrich, R Bolze

  • 1Institut de Biologie et Chimie des Protéines (IBCP UMR 5086),CNRS, Univ. Lyon1, IFR128 BioSciences Lyon-Gerland, 7, passage du Vercors, 69367 Lyon cedex 07, France.

Bioinformatics (Oxford, England)
|July 6, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

NALIRIFOX in the treatment of metastatic pancreatic ductal adenocarcinoma: an exploratory analysis of real-world data.

ESMO open·2025
Same author

Rhodamine6G and Hœchst33342 narrow BmrA conformational spectrum for a more efficient use of ATP.

Nature communications·2025
Same author

Prognosticators of survival in patients with metastatic pancreatic cancer and ascites.

ESMO open·2023
Same author

Species-wide quantitative transcriptomes and proteomes reveal distinct genetic control of gene expression variation in yeast.

bioRxiv : the preprint server for biology·2023
Same author

Clinical risk factors for ascites in metastatic pancreatic cancer.

ESMO open·2023
Same author

Relevance of Kondo physics for the temperature dependence of the bulk modulus in plutonium.

Proceedings of the National Academy of Sciences of the United States of America·2017
Same journal

3DICE: Interpretable 3D Cross-Modal Learning for Drug-Target Interaction Prediction and Large-Scale Drug Discovery.

Bioinformatics (Oxford, England)·2026
Same journal

KASSPer: Kinase Active Site Structure Prediction using Protein and Ligand Language Models and Its Application to Virtual Screening.

Bioinformatics (Oxford, England)·2026
Same journal

IDR searcher: a search engine solution for public image resources.

Bioinformatics (Oxford, England)·2026
Same journal

KCFtools: Rapid alignment-free method for introgression screening and GWAS using k-mer profiles.

Bioinformatics (Oxford, England)·2026
Same journal

Meta2DB: Curated shotgun metagenomic feature sets and metadata for health state prediction.

Bioinformatics (Oxford, England)·2026
Same journal

conMItion: an R package adjusting confounding factors for associations in multi-omics.

Bioinformatics (Oxford, England)·2026
See all related articles

MAGOS is a web server that automates protein modeling and generates annotated multiple sequence alignments. It facilitates interactive exploration of structural and evolutionary information from sequence data.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Structural Biology

Background:

  • Protein modeling and sequence alignment are crucial for understanding protein function and evolution.
  • Existing tools may lack integrated approaches for analyzing structural and evolutionary information.
  • The MAGOS web server addresses these limitations by combining automated modeling with hierarchical alignment.

Purpose of the Study:

  • To present MAGOS, a novel web server for automated protein modeling.
  • To enable the creation of hierarchical and annotated multiple sequence alignments.
  • To support an interactive approach to exploring structural and evolutionary sequence information.

Main Methods:

  • Automated protein modeling.
  • Hierarchical multiple sequence alignment generation.

Related Experiment Videos

  • Integration of mined and predicted sequence information.
  • Web server implementation for interactive access.

    • Main Results:

    • MAGOS provides a platform for simultaneous protein modeling and multiple sequence alignment.
    • The server generates hierarchical alignments that capture evolutionary relationships.
    • It allows users to interactively explore structural and evolutionary data.

    Conclusions:

    • MAGOS offers an integrated solution for analyzing protein sequence and structure.
    • The tool enhances the understanding of evolutionary relevance in protein information.
    • It provides a valuable resource for researchers in bioinformatics and structural biology.