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Table 5 Top genes ranked by the RWR algorithm in an expanded PPI network “BioGrid+PRDM9” and their semantic similarity to two recombination related GO terms

From: Finding trans-regulatory genes and protein complexes modulating meiotic recombination hotspots of human, mouse and yeast

 

BioGrid+PRDM9

BioGrid

Rank

Genes

Similarity

Genes

Similarity

1

KPNA2

0.712

KPNA2

0.712

2

UIMC1

0.464

UIMC1

0.464

3

FBXW11

0.458

FBXW11

0.458

4

UBC

0.806

UBC

0.806

5

EP300

0.548

EP300

0.548

6

SMARCA4

0.417

SMARCA4

0.417

7

SMAD3

0.438

SMAD3

0.438

8

HDAC1

0.502

HDAC1

0.502

9

H2AFX

0.838

POLR2A

0.425

10

POLR2A

0.425

SMAD2

0.432

11

H3F3A

0.301

CREBBP

0.378

12

SMAD2

0.432

RUNX1

0.392

13

CREBBP

0.378

SMAD4

0.457

14

RUNX1

0.392

SUMO1

0.432

15

SMAD4

0.457

DAXX

0.495

16

H3F3B

0.301

ID3

0.509

17

SPO11

0.883

MYB

0.568

18

SPATA17

0

PARP1

0.414

19

RNF212

0.668

RXRA

0.368

20

SUMO1

0.432

TAT

0.263

Average

 

0.493

 

0.474

  1. The genes in bold are those predicted interaction partner of PRDM9 in STRING database.