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Hi Bhushan,
As for the reaction.lst:
This is a file derived from KEGG. As such, it would have to be
manually generated if you don't have a Kegg ftp subscription.
If you have an ftp subscription, you could extract it from the
corresponding database entries.
KEGG_dictionary again depends a lot on your model. i.e. you would need a list specific to your model. Potential lists can be derived from e.g. the MetaNetX downloads (https://www.metanetx.org/mnxdoc/mnxref.html) or from BiGG (http://bigg.ucsd.edu/data_access) but you would have to extract the corresponding mapping for your use case.
Best
Thomas
Thank you for the link Amlut.
Would you happen to know from where I could get the other files as well?
On Thursday, January 11, 2018 at 6:02:51 PM UTC+5:30, Almut Heinken wrote:
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