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

Protein family alignment annotation.

Don Gilbert1

  • 1Biology Department, Center for Genomics and Bioinformatics, Indiana University, Bloomington 47405, USA. gilbertd@bio.indiana.edu

Briefings in Bioinformatics
|July 9, 2003
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

The landscape of extreme genomic variation in the highly adaptable Atlantic killifish.

Genome biology and evolution·2017
Same author

Genomic insights into the Ixodes scapularis tick vector of Lyme disease.

Nature communications·2016
Same author

Decoding the massive genome of loblolly pine using haploid DNA and novel assembly strategies.

Genome biology·2014
Same author

The genome sequence of the most widely cultivated cacao type and its use to identify candidate genes regulating pod color.

Genome biology·2013
Same author

Predator-induced defences in Daphnia pulex: selection and evaluation of internal reference genes for gene expression studies with real-time PCR.

BMC molecular biology·2010
Same author

Comments on sequence normalization of tiling array expression.

Bioinformatics (Oxford, England)·2009
Same journal

Literature-informed gene extraction and ranking for multimodal data fusion.

Briefings in bioinformatics·2026
Same journal

SA-MTP: a structure-aware framework for multifunctional therapeutic peptide annotation.

Briefings in bioinformatics·2026
Same journal

Genome assemblies and annotations are not static and need support for tracking their evolution.

Briefings in bioinformatics·2026
Same journal

A historical journey of metabolite-protein interaction discovery: from data harmonization to AI-driven prediction.

Briefings in bioinformatics·2026
Same journal

Bridging local-global transmembrane protein contexts with contrastive pretraining for alignment-free pathogenicity prediction.

Briefings in bioinformatics·2026
Same journal

Prediction of drug hypersensitivity by comprehensive modeling of HLA-peptidomes.

Briefings in bioinformatics·2026
See all related articles

The Protein Family Alignment Annotation Tool (Pfaat) simplifies protein analysis for bioscientists. This open-source software aids in viewing, aligning, and annotating protein families, enhancing structure and function studies.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Structural Biology

Background:

  • Accurate annotation of protein families is crucial for understanding protein structure and function.
  • Existing tools may lack comprehensive features for alignment and annotation.
  • Bioscientists require efficient software for analyzing large protein datasets.

Purpose of the Study:

  • To introduce the Protein Family Alignment Annotation Tool (Pfaat) as a solution for protein family analysis.
  • To provide bioscientists with a user-friendly and extensible platform for protein annotation.
  • To facilitate the study of protein structure, function, and sequence-structure-function relationships.

Main Methods:

  • Development of open-source software for protein family analysis.

Related Experiment Videos

  • Implementation of methods for viewing and aligning protein sequences within families.
  • Integration of tools for annotating sequence, structure, and residues with functional information.

    • Main Results:

    • Pfaat offers a streamlined approach to annotating collections of proteins.
    • The software enables visualization and alignment of protein families.
    • Functional annotations can be readily applied to sequences, structures, and residues.

    Conclusions:

    • Pfaat is a valuable and accessible tool for bioscientists engaged in protein research.
    • The software enhances the study of protein structure and function through improved annotation capabilities.
    • Pfaat serves as an extensible platform for bioinformatics developers to build upon.