Difference between revisions of "Enzymes"

From apimba
Jump to navigation Jump to search
Line 11: Line 11:
 
*<p>[https://hpcwebapps.cit.nih.gov/ESBL/Database/MetabolicEnzymes/MetabolicEnzymeDatabase.html MMEB], which is a smaller database focused on mammalian metabolic enzymes.</p>
 
*<p>[https://hpcwebapps.cit.nih.gov/ESBL/Database/MetabolicEnzymes/MetabolicEnzymeDatabase.html MMEB], which is a smaller database focused on mammalian metabolic enzymes.</p>
 
*<p>[https://www.ebi.ac.uk/merops/ MEROPS], which is a smaller database focused on peptidases.</p>
 
*<p>[https://www.ebi.ac.uk/merops/ MEROPS], which is a smaller database focused on peptidases.</p>
 +
*<p>[https://www.rcsb.org/ PDB], which is a large database covering all proteins (173k structures!).</p>
 
<p>These links will probably not last long so get as much as you can from them before they disappear.</p>
 
<p>These links will probably not last long so get as much as you can from them before they disappear.</p>

Revision as of 07:13, 8 January 2021

The Enzymes wiki is being developed, but some great sites to go to until it is complete are:

  • ExploreEnz, which is a simple enzyme database based on the IUBMB enzyme list.

  • Expasy, which is another simple enzyme database also based on the IUBMB enzyme list.

  • IntEnz, which is another simple enzyme database also based on the IUBMB enzyme list.

  • IUBMB, which is the IUBMB website.

  • KEGG enzyme, which is the enzyme part of the KEGG site, a very large and useful site.

  • Brenda, which is a very fancy database describing details of enzymes and their pathways. Will be a real shame when this one disappears.

  • CAZY, which is a smaller database focused on enzymes involving carbohydrates.

  • ThYme, which is a smaller database focused on enzymes involving thioesters.

  • Orphan, which is a smaller database focused on orphan enzymes.

  • MMEB, which is a smaller database focused on mammalian metabolic enzymes.

  • MEROPS, which is a smaller database focused on peptidases.

  • PDB, which is a large database covering all proteins (173k structures!).

These links will probably not last long so get as much as you can from them before they disappear.