Literature DB >> 33315308

Protein Sequence Analysis Using the MPI Bioinformatics Toolkit.

Felix Gabler1, Seung-Zin Nam1, Sebastian Till1, Milot Mirdita2, Martin Steinegger2,3, Johannes Söding2, Andrei N Lupas1, Vikram Alva1.   

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. © 2020 The Authors.

Keywords:  CLANS; HHpred; HMM; cluster analysis; homology; profile hidden Markov models; sequence comparison; sequence similarity searches; structure prediction

Year:  2020        PMID: 33315308     DOI: 10.1002/cpbi.108

Source DB:  PubMed          Journal:  Curr Protoc Bioinformatics        ISSN: 1934-3396


  93 in total

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