Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Videos

Comparative methods for identifying functional domains in protein sequences

¹Howard Hughes Medical Institute, Fred Hutchinson Cancer Research Center, Seattle, Washington 98104, USA.

Biotechnology Annual Review

|January 1, 1995

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

Histone marks identify novel transcription factors that parse CAR-T subset-of-origin, clinical potential and expansion.

Nature communications·2024

Same author

Orientation of repeating units in Xenopus chromosomal ribosomal DNA: A test of a stochastic model for maintaining intraspecies homogeneity.

Journal of molecular biology·2011

Same author

Summary: The nucleus--a close-knit community of dynamic structures.

Cold Spring Harbor symposia on quantitative biology·2011

Same author

Epigenetic inheritance of centromeres.

Cold Spring Harbor symposia on quantitative biology·2010

Same author

Applying whole-genome studies of epigenetic regulation to study human disease.

Cytogenetic and genome research·2006

Same author

Epigenetics, histone H3 variants, and the inheritance of chromatin states.

Cold Spring Harbor symposia on quantitative biology·2005

Same journal

Recent advances in the development of transgenic papaya technology.

Biotechnology annual review·2008

Same journal

The current status and future potential of personalized diagnostics: Streamlining a customized process.

Biotechnology annual review·2008

Same journal

Critical review and appraisal of published clinical literature: useful skill in biotechnology product development.

Biotechnology annual review·2008

Same journal

Free radical processes in green tea polyphenols (GTP) investigated by electron paramagnetic resonance (EPR) spectroscopy.

Biotechnology annual review·2008

Same journal

Ethnomedicines and ethnomedicinal phytophores against herpesviruses.

Biotechnology annual review·2008

Same journal

The application of low shear modeled microgravity to 3-D cell biology and tissue engineering.

Biotechnology annual review·2008

See all related articles

This review covers protein motif identification methods for finding patterns in protein families and clustering databases. These techniques are vital for interpreting vast amounts of molecular sequence data.

Area of Science:

Bioinformatics
Computational Biology
Molecular Biology

Background:

The exponential growth of protein sequence databases necessitates advanced methods for data interpretation.
Understanding protein families and their relationships is crucial for biological research.

Purpose of the Study:

To review diverse computational approaches for protein motif identification.
To highlight the importance of motif discovery in the context of large-scale sequence data.

Main Methods:

Review of algorithms for motif finding within protein families.
Discussion of clustering techniques for identifying protein family relationships.
Overview of database searching strategies using motif representations.

Related Experiment Videos

Main Results:

Multiple computational methods exist for protein motif identification.
These methods facilitate the organization and analysis of protein sequence data.
Effective motif identification aids in understanding protein function and evolution.

Conclusions:

Protein motif identification is essential for interpreting the rapidly expanding sequence databases.
The reviewed methods provide valuable tools for bioinformatics and molecular biology research.
Accurate motif discovery enhances our understanding of protein families and their functions.