Dataset from Zenodo · Gang Li
Enzymes from the BRENDA and CAZy databases annotated with organism growth temperatures and predicted Topt
- License
- CC BY 4.0commercial use allowedLicense text
- This license allows commercial use. Usually you must credit the author; read the license for the exact terms.
- Formats
- TSV, SQL
- Size
- 4.5 GB
- Updated
- Jan 24, 2020
Description
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…
Description from Zenodo, shortened.
Files (4)
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