Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  Protein sequence analysis using the MPI Bioinformatics Toolkit

Gabler, F., Nam, S.-Z., Till, S., Mirdita, M., Steinegger, M., Söding, J., et al. (2020). Protein sequence analysis using the MPI Bioinformatics Toolkit. Current Protocols in Bioinformatics, 72(1): e108. doi:10.1002/cpbi.108.

Item is

Basisdaten

einblenden: ausblenden:
Genre: Zeitschriftenartikel

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Gabler, F1, 2, Autor           
Nam, S-Z1, 2, Autor           
Till, S1, 2, Autor           
Mirdita, M, Autor
Steinegger, M, Autor
Söding, J, Autor
Lupas, AN1, Autor           
Alva, V1, 2, Autor           
Affiliations:
1Department Protein Evolution, Max Planck Institute for Developmental Biology, Max Planck Society, ou_3375791              
2Protein Bioinformatics Group, Department Protein Evolution, Max Planck Institute for Developmental Biology, Max Planck Society, ou_3477398              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: 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.

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

Details

einblenden:
ausblenden:
Sprache(n): eng - English
 Datum: 2020-12
 Publikationsstatus: Online veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1002/cpbi.108
PMID: 33315308
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Current Protocols in Bioinformatics
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: 30 Band / Heft: 72 (1) Artikelnummer: e108 Start- / Endseite: - Identifikator: -