54. glycolysis

Similarity values obtained by G-SESAME

  CDC19 ENO1 ENO2 FBA1 GPM1 PFK1 PFK2 PGI1 PGK1 PYK2 TDH1 TDH2 TDH3 TPI1
CDC19  0.1800.1800.1800.1800.6410.6410.1800.59910.1570.1570.1570.180
ENO1    10.3380.1990.1500.1500.1990.1800.1800.1730.1730.1730.199
ENO2      0.3380.1990.1500.1500.1990.1800.1800.1730.1730.1730.199
FBA1        0.1990.1500.1500.1990.1800.1800.1730.1730.1730.199
GPM1          0.1500.1500.3380.1800.1800.1730.1730.1730.338
PFK1            10.1500.4910.6410.1300.1300.1300.150
PFK2              0.1500.4910.6410.1300.1300.1300.150
PGI1                0.1800.1800.1730.1730.1730.728
PGK1                  0.5990.1570.1570.1570.180
PYK2                    0.1570.1570.1570.180
TDH1                      110.173
TDH2                        10.173
TDH3                          0.173
TPI1                           

Clustering results obtained by G-SESAME

Threshold Initial1.0000.7200.6400.5900.3300.1900.1800.170
Clustering
Result
TPI1

PGI1

GPM1

ENO2

ENO1

FBA1

PFK2

PFK1

PYK2

CDC19

PGK1

TDH3

TDH2

TDH1

TPI1

PGI1

GPM1

ENO2
ENO1

FBA1

PFK2
PFK1

PYK2
CDC19

PGK1

TDH3
TDH2
TDH1

TPI1
PGI1

GPM1

ENO2
ENO1

FBA1

PFK2
PFK1

PYK2
CDC19

PGK1

TDH3
TDH2
TDH1

TPI1
PGI1

GPM1

ENO2
ENO1

FBA1

PFK2
PFK1
PYK2
CDC19

PGK1

TDH3
TDH2
TDH1

TPI1
PGI1

GPM1

ENO2
ENO1

FBA1

PFK2
PFK1
PYK2
CDC19
PGK1

TDH3
TDH2
TDH1

TPI1
PGI1
GPM1

ENO2
ENO1
FBA1

PFK2
PFK1
PYK2
CDC19
PGK1

TDH3
TDH2
TDH1

TPI1
PGI1
GPM1
ENO2
ENO1
FBA1

PFK2
PFK1
PYK2
CDC19
PGK1

TDH3
TDH2
TDH1

TPI1
PGI1
GPM1
ENO2
ENO1
FBA1
PFK2
PFK1
PYK2
CDC19
PGK1

TDH3
TDH2
TDH1

TPI1
PGI1
GPM1
ENO2
ENO1
FBA1
PFK2
PFK1
PYK2
CDC19
PGK1
TDH3
TDH2
TDH1

Similarity values obtained by Resnik's method

  CDC19 ENO1 ENO2 FBA1 GPM1 PFK1 PFK2 PGI1 PGK1 PYK2 TDH1 TDH2 TDH3 TPI1
CDC19   0.281 0.281 0.281 0.281 3.394 3.394 0.281 3.143 3.394 0.281 0.281 0.281 0.281
ENO1     5.529 1.378 0.281 1.378 1.378 0.281 0.281 0.281 0.281 0.281 0.281 0.281
ENO2       1.378 0.281 1.378 1.378 0.281 0.281 0.281 0.281 0.281 0.281 0.281
FBA1         0.281 1.378 1.378 0.281 0.281 0.281 0.281 0.281 0.281 0.281
GPM1           1.378 1.378 1.378 0.281 0.281 0.281 0.281 0.281 1.378
PFK1             7.826 1.378 3.143 3.394 1.378 1.378 1.378 1.378
PFK2               1.378 3.143 3.394 1.378 1.378 1.378 1.378
PGI1                 0.281 0.281 0.281 0.281 0.281 6.235
PGK1                   3.143 0.281 0.281 0.281 0.281
PYK2                     0.281 0.281 0.281 0.281
TDH1                       7.935 7.935 0.281
TDH2                         7.935 0.281
TDH3                           0.281
TPI1                            

Clustering results obtained by Resnik's method

Threshold Initial 7.935 7.735 6.135 5.435 3.335 3.135 1.335
Clustering
Result
PFK2

PFK1

PYK2

CDC19

PGK1

ENO2

ENO1

TPI1

PGI1

TDH3

TDH2

TDH1

GPM1

FBA1

PFK2

PFK1

PYK2

CDC19

PGK1

ENO2

ENO1

TPI1

PGI1

TDH3
TDH2
TDH1

GPM1

FBA1

PFK2
PFK1

PYK2

CDC19

PGK1

ENO2

ENO1

TPI1

PGI1

TDH3
TDH2
TDH1

GPM1

FBA1

PFK2
PFK1

PYK2

CDC19

PGK1

ENO2

ENO1

TPI1
PGI1

TDH3
TDH2
TDH1

GPM1

FBA1

PFK2
PFK1

PYK2

CDC19

PGK1

ENO2
ENO1

TPI1
PGI1

TDH3
TDH2
TDH1

GPM1

FBA1

PFK2
PFK1
PYK2
CDC19

PGK1

ENO2
ENO1

TPI1
PGI1

TDH3
TDH2
TDH1

GPM1

FBA1

PFK2
PFK1
PYK2
CDC19
PGK1

ENO2
ENO1

TPI1
PGI1

TDH3
TDH2
TDH1

GPM1

FBA1

PFK2
PFK1
PYK2
CDC19
PGK1
ENO2
ENO1
TPI1
PGI1
TDH3
TDH2
TDH1
GPM1
FBA1

Analysis:

Genes TDH1, TDH2, and TDH3 are annotated by the same molecular function term GO:0004365: glyceraldehyde-3-phosphate dehydrogenase (phosphorylating) activity. Genes ENO1 and ENO2 are annotated by the same molecular function term GO:0004634: phosphopyruvate hydratase activity. Genes PFK1 and PFK2 are annotated by the same molecular function term GO:0003872: 6-phosphofructokinase activity. Genes PYK2 and CDC19 are annotated by the same molecular function term GO:0004743: pyruvate kinase activity.

Thus, TDH1, TDH2, and TDH3 have the same molecular function. ENO1 and ENO2 have the same molecular function. PFK1 and PFK2 have the same molecular function. PYK2 and CDC19 have the same molecular function. The similarity values and clustering results obtained by G-SESAME are consistent with these observations.

However, based on Resnik's method, the similarity among genes TDH1, TDH2, and TDH3 is greater than the similarity between PFK1 and PFK2. The similarity between PFK1 and PFK2 is greater than the similarity between ENO1 and ENO2. The similarity between ENO1 and ENO2 is greater than the similarity between PYK2 and CDC19. These results are inconsistent with the human perception.

Furthermore, there are other results obtained by Resnik's method are not consistent with human perspectives. For instance, Genes TPI1 and PGI1 are annotated by two different terms, GO:0004807: triose-phosphate isomerase activity and GO:0004347: glucose-6-phosphate isomerase activity respectively. Therefore, the difference between TPI1 and PGI1 should be greater than the difference between PYK2 and CDC19. However, based on Resnik's method, the similarity value between TPI1 and PGI1 is greater than the similarity between PYK2 and CDC19, two genes annotated by the same molecular function term.

Conclusions:

G-SESAME is better.