Hi Seq225, I did it this way:
- Annotate the AA sequences using the web service BlastKOALA (see Step-by-step Instructions);
- Download the hierarchical data containing KOs and pathways from KEGG and save as "KO.keg";
- Parse "KO.keg" into tidy format ("KO.tsv");
- Join your KO assignment results (from step1) with "KO.tsv", then you'll see which genes are clustered in the same pathway.
$ wget -O KO.keg "http://www.genome.jp/kegg-bin/download_htext?htext=ko00001.keg&format=htext&filedir="
$ head KO.keg
+D KO
#<h2><a href="/kegg/kegg2.html"><img src="/Fig/bget/kegg3.gif" align="middle" border=0></a> KEGG Orthology (KO)</h2>
!
A09100 Metabolism
B
B 09101 Carbohydrate metabolism
C 00010 Glycolysis / Gluconeogenesis [PATH:ko00010]
D K00844 HK; hexokinase [EC:2.7.1.1]
D K12407 GCK; glucokinase [EC:2.7.1.2]
D K00845 glk; glucokinase [EC:2.7.1.2]
$ head KO.tsv
09100 Metabolism 09101 Carbohydrate metabolism 00010 Glycolysis / Gluconeogenesis K00844 HK hexokinase EC:2.7.1.1
09100 Metabolism 09101 Carbohydrate metabolism 00010 Glycolysis / Gluconeogenesis K12407 GCK glucokinase EC:2.7.1.2
09100 Metabolism 09101 Carbohydrate metabolism 00010 Glycolysis / Gluconeogenesis K00845 glk glucokinase EC:2.7.1.2
09100 Metabolism 09101 Carbohydrate metabolism 00010 Glycolysis / Gluconeogenesis K01810 GPI, pgi glucose-6-phosphate isomerase EC:5.3.1.9
09100 Metabolism 09101 Carbohydrate metabolism 00010 Glycolysis / Gluconeogenesis K06859 pgi1 glucose-6-phosphate isomerase, archaeal EC:5.3.1.9
09100 Metabolism 09101 Carbohydrate metabolism 00010 Glycolysis / Gluconeogenesis K13810 tal-pgi transaldolase / glucose-6-phosphate isomerase EC:2.2.1.2 5.3.1.9
09100 Metabolism 09101 Carbohydrate metabolism 00010 Glycolysis / Gluconeogenesis K15916 pgi-pmi glucose/mannose-6-phosphate isomerase EC:5.3.1.9 5.3.1.8
09100 Metabolism 09101 Carbohydrate metabolism 00010 Glycolysis / Gluconeogenesis K00850 pfkA, PFK 6-phosphofructokinase 1 EC:2.7.1.11
09100 Metabolism 09101 Carbohydrate metabolism 00010 Glycolysis / Gluconeogenesis K16370 pfkB 6-phosphofructokinase 2 EC:2.7.1.11
Hope it helps.
you can use simply use web based kegg database and also you can use david tool as well