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Updated: Jun 26, 2026

Prediction of HIV-1 Coreceptor Usage Tropism by Sequence Analysis using a Genotypic Approach
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Protein Sequence Analysis Using the MPI Bioinformatics Toolkit.

Felix Gabler1, Seung-Zin Nam1, Sebastian Till1

  • 1Department of Protein Evolution, Max Planck Institute for Developmental Biology, Tübingen, Germany.

Current Protocols in Bioinformatics
|December 14, 2020
PubMed
Summary
This summary is machine-generated.

The MPI Bioinformatics Toolkit offers diverse tools for protein sequence analysis, including HHpred for homology detection and structure prediction, and CLANS for data visualization. This resource aids biomedical research and life science education.

Keywords:
CLANSHHpredHMMcluster analysishomologyprofile hidden Markov modelssequence comparisonsequence similarity searchesstructure prediction

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Structural Biology

Background:

  • The MPI Bioinformatics Toolkit provides access to advanced bioinformatics tools.
  • It includes 35 tools for sequence analysis, feature prediction, and classification.
  • The toolkit is valuable for biomedical research and life science education.

Purpose of the Study:

  • To detail the utilization of key tools within the MPI Bioinformatics Toolkit.
  • Focus on HHpred for homology detection and structure prediction, and CLANS for data visualization.
  • To provide practical guidance for researchers and students.

Main Methods:

  • Utilizing HHpred for sequence similarity searching and homolog detection.
  • Employing HHpred with MODELLER for homology modeling and protein structure prediction.
  • Applying CLANS for visualizing relationships within large sequence datasets.

Main Results:

  • Demonstrated effective homology detection using HHpred.
  • Successfully calculated protein homology models with HHpred and MODELLER.
  • Showcased visualization of large sequence datasets using CLANS.

Conclusions:

  • The MPI Bioinformatics Toolkit is a comprehensive resource for protein sequence analysis.
  • HHpred and CLANS are powerful tools for specific bioinformatics tasks.
  • The toolkit facilitates advanced research and educational activities in the life sciences.