Bitte benutzen Sie diese Kennung, um auf die Ressource zu verweisen:
http://dx.doi.org/10.18419/opus-14278
Autor(en): | Lohoff, Caroline Buchholz, Patrick C. F. Le Roes‐Hill, Marilize Pleiss, Jürgen |
Titel: | Expansin Engineering Database : a navigation and classification tool for expansins and homologues |
Erscheinungsdatum: | 2020 |
Dokumentart: | Zeitschriftenartikel |
Seiten: | 149-162 |
Erschienen in: | Proteins 89 (2021), S. 149-162 |
URI: | http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-142979 http://elib.uni-stuttgart.de/handle/11682/14297 http://dx.doi.org/10.18419/opus-14278 |
ISSN: | 1097-0134 0887-3585 |
Zusammenfassung: | Expansins have the remarkable ability to loosen plant cell walls and cellulose material without showing catalytic activity and therefore have potential applications in biomass degradation. To support the study of sequence‐structure‐function relationships and the search for novel expansins, the Expansin Engineering Database (ExED, https://exed.biocatnet.de) collected sequence and structure data on expansins from Bacteria, Fungi, and Viridiplantae, and expansin‐like homologues such as carbohydrate binding modules, glycoside hydrolases, loosenins, swollenins, cerato‐platanins, and EXPNs. Based on global sequence alignment and protein sequence network analysis, the sequences are highly diverse. However, many similarities were found between the expansin domains. Newly created profile hidden Markov models of the two expansin domains enable standard numbering schemes, comprehensive conservation analyses, and genome annotation. Conserved key amino acids in the expansin domains were identified, a refined classification of expansins and carbohydrate binding modules was proposed, and new sequence motifs facilitate the search of novel candidate genes and the engineering of expansins. |
Enthalten in den Sammlungen: | 03 Fakultät Chemie |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
---|---|---|---|---|
PROT_PROT26001.pdf | 3,47 MB | Adobe PDF | Öffnen/Anzeigen |
Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons