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Table 1 Summary of the top five most statistically significant structures for each method when using the quaternary structure

From: Leveraging protein quaternary structure to identify oncogenic driver mutations

 

P-value

Structure

iPAC

GraphPAC

SpacePAC

2YDR

1.89E-13

6.27E-18

<0.001

1SUV

2.39E-06

1.57E-05

 

3W14

4.57E-06

  

1DTW

5.22E-06

  

1U5B

2.22E-05

  

3V8X

 

1.49E-05

 

4MNQ

 

1.48E-04

 

1QVO

 

1.60E-04

<0.001

1I5K

  

<0.001

3B13

  

<0.001

1A9W

  

0.002

  1. A blank entry in position (i,j) denotes that methodology j did not find that structure to be statistically significant. We note that if a structure had n total mutations, then the pairwise methodologies of iPAC and GraphPAC calculate \(\frac {n(n-1)}{2}\) comparisons, one for each pair of mutations. Therefore, the p-values shown for iPAC and GraphPAC are shown post a Bonferroni correction. For SpacePAC, as 1000 simulations were run for each structure, the minimum possible p-value we can report is p<1.00E−03. Please see [26] for more details