Dataset de Zenodo · Gang Li
Enzymes from the BRENDA and CAZy databases annotated with organism growth temperatures and predicted Topt
- Licencia
- CC BY 4.0uso comercial permitidoTexto de la licencia
- Esta licencia permite el uso comercial. Normalmente hay que citar al autor; consulta la licencia para ver las condiciones exactas.
- Formatos
- TSV, SQL
- Tamaño
- 4,5 GB
- Actualizado
- 24 ene 2020
Descripción
This repo is an updated version of repo Gang Li, & Martin KM Engqvist. (2019). Enzymes from the BRENDA database annotated with organism growth temperatures and predicted T opt (Version 1.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.2539114. Experimental as well as predicted organism growth temperatures were used to annotate enzymes from the BRENDA database (doi: 10.1093/nar/gky1048, https://www.brenda-enzymes.org) version 2018.2 (July 2018) and CAZy database (http://www.cazy.org/). An updated machine learning model was applied to predict the optimal functional temperature of enzymes from BRENDA and CAZy. There are four files in this repo: 1. 'annotated brenda.tsv' is a tab-seperated file that contains the annotated enzymes from BRENDA. There are 9 columns in the file: index column; "ec", EC number; "uniprot id", protein id in Uniprot database; "domain", the domain of life (superkingdom), either Archaea, Bacteria, or Eukarya; "organism", species name; "ogt", optimal growth temperature of the organism; "ogt note", whether the experimental or predicted ogt is used; "topt", the optimal functional temperature of the enzyme; "topt note", whether the experimental or predicted…
Descripción de Zenodo, abreviada.
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