.png){kind=icon}
Return
Protein Sequence Analysis Using the MPI Bioinformatics Toolkit
.png){kind=icon}
OA
AI
DOI：10.1002/cpbi.108.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
AbstractThe 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 HHpredAlternate Protocol: Pairwise sequence comparison using HHpredSupport Protocol: Building a custom multiple sequence alignment using PSI‐BLAST and forwarding it as input to HHpredBasic Protocol 2: Calculation of homology models using HHpred and MODELLERBasic Protocol 3: Cluster analysis using CLANS
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
No journal information available
Organization
No organization information available
Cited Papers
No cited papers available