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Related Experiment Video

Updated: Jun 1, 2026

From a Natural Product to Its Biosynthetic Gene Cluster: A Demonstration Using Polyketomycin from Streptomyces diastatochromogenes Tü6028
09:08

From a Natural Product to Its Biosynthetic Gene Cluster: A Demonstration Using Polyketomycin from Streptomyces diastatochromogenes Tü6028

Published on: January 13, 2017

The LabelHash server and tools for substructure-based functional annotation.

Mark Moll1, Drew H Bryant, Lydia E Kavraki

  • 1Department of Computer Science, Rice University, Houston, TX 77005, USA. mmoll@rice.edu

Bioinformatics (Oxford, England)
|June 11, 2011
PubMed
Summary
This summary is machine-generated.

LabelHash predicts protein function by comparing substructures across the Protein Data Bank. This tool identifies functional residues and provides statistical significance for unknown protein analysis.

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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

Related Experiment Videos

Last Updated: Jun 1, 2026

From a Natural Product to Its Biosynthetic Gene Cluster: A Demonstration Using Polyketomycin from Streptomyces diastatochromogenes Tü6028
09:08

From a Natural Product to Its Biosynthetic Gene Cluster: A Demonstration Using Polyketomycin from Streptomyces diastatochromogenes Tü6028

Published on: January 13, 2017

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

Area of Science:

  • Biochemistry
  • Structural Biology
  • Bioinformatics

Background:

  • The LabelHash website is freely accessible to all users without requiring login credentials.
  • The tool is available at http://labelhash.kavrakilab.org.

Purpose of the Study:

  • To introduce the LabelHash server and associated tools for large-scale substructure comparison.
  • To enable the prediction of unknown protein functions using identified substructures.

Main Methods:

  • Utilizes a substructure comparison approach for analyzing protein data.
  • Identifies occurrences of matching substructures within the entire Protein Data Bank.
  • Provides statistical significance estimates for identified matches.

Main Results:

  • Successfully identifies substructural matches within the Protein Data Bank.
  • Offers known functional annotations for each identified substructure match.
  • Results are downloadable for further analysis in molecular viewers.

Conclusions:

  • LabelHash facilitates large-scale substructure comparison for predicting protein function.
  • The tool aids in understanding the function of unknown proteins by analyzing functional residues.
  • Integration with molecular viewers like Chimera enhances usability for researchers.