AI Article Synopsis

  • The MPI Bioinformatics Toolkit offers interactive access to various top bioinformatics tools and databases, notably including advanced protein sequence comparison methods like HHblits and HHpred.
  • It comprises 35 tools focused on tasks such as sequence similarity searching, sequence feature prediction, and classification, making it valuable for biomedical research and education in protein sequence analysis.
  • The article highlights how to effectively use the Toolkit's most popular tools, particularly HHpred for homolog detection and structure prediction, along with CLANS for visualizing relationships in large sequence datasets.

Article Abstract

The MPI Bioinformatics Toolkit (https://toolkit.tuebingen.mpg.de) provides interactive access to a wide range of the best-performing bioinformatics tools and databases, including the state-of-the-art protein sequence comparison methods HHblits and HHpred. The Toolkit currently includes 35 external and in-house tools, covering functionalities such as sequence similarity searching, prediction of sequence features, and sequence classification. Due to this breadth of functionality, the tight interconnection of its constituent tools, and its ease of use, the Toolkit has become an important resource for biomedical research and for teaching protein sequence analysis to students in the life sciences. In this article, we provide detailed information on utilizing the three most widely accessed tools within the Toolkit: HHpred for the detection of homologs, HHpred in conjunction with MODELLER for structure prediction and homology modeling, and CLANS for the visualization of relationships in large sequence datasets. © 2020 The Authors. Basic Protocol 1: Sequence similarity searching using HHpred Alternate Protocol: Pairwise sequence comparison using HHpred Support Protocol: Building a custom multiple sequence alignment using PSI-BLAST and forwarding it as input to HHpred Basic Protocol 2: Calculation of homology models using HHpred and MODELLER Basic Protocol 3: Cluster analysis using CLANS.

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http://dx.doi.org/10.1002/cpbi.108DOI Listing

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