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Table 3 Comparison in performance between 15 online siRNA design tools and DRM rule sets with four different stringency levels (α = 0.951, 0.895, 0.845 and 0.827).

From: Integrated siRNA design based on surveying of features associated with high RNAi effectiveness

Design Program

Institution/Company

URL

Avg. # Effective siRNAs

Predicted per Gene

Sensitivity

(> 90%)

Specificity

(> 90%)

PPV

(> 90%)

Sensitivity

(> 70%)

Specificity

(> 70%)

PPV (> 70%)

Ambion siRNA Target Finder

Ambion, Inc.

[64]

190.0

0.603

0.456

37.0%

0.574

0.457

70.3%

Jack Lin's siRNA Sequence Finder

Cold Spring Harbor Laboratory

[65]

207.5

0.204

0.759

30.9%

0.221

0.757

67.1%

siDESIGN Center

Dharmacon, Inc.

[66]

9.8

0.042

0.976

48.5%

0.036

0.982

81.8%

siRNA Target Finder

GenScript Corp.

[67]

22.4

0.032

0.979

44.4%

0.030

0.988

85.2%

Imgenex sirna Designer

Imgenex Corp.

[68]

22.8

0.116

0.913

41.5%

0.108

0.929

77.4%

EMBOSS sirna

Institute Pasteur

[69]

639.4

0.778

0.250

35.4%

0.767

0.258

69.9%

IDT RNAi Design (SciTools)

Integrated DNA Technologies, Inc.

[70]

5.8

0.032

0.975

40.0%

0.030

0.979

76.7%

BLOCK-iT RNAi Designer

Invitrogen Corp.

[71]

11.4

0.026

0.985

47.6%

0.020

0.982

71.4%

siSearch

Karolinska Institutet

[72]

19.6

0.016

0.986

37.5%

0.017

0.991

81.3%

SiMAX

MWG-Biotech, Inc.

[73]

35.1

0.161

0.843

35.3%

0.172

0.872

75.1%

BIOPREDsi

Novartis Institutes for BioMedical Research

[74]

10.0

0.794

0.908

31.3%

0.820

0.899

64.6%

Promega siRNA Target Designer

Promega Corp.

[75]

38.0

0.093

0.941

45.5%

0.083

0.958

81.8%

QIAGEN siRNA Design Tool

QIAGEN, Inc.

[76]

29.6

0.167

0.862

38.9%

0.161

0.881

75.3%

SDS/MPI

University of Hong Kong

[77]

432.8

0.656

0.380

35.9%

0.632

0.368

69.2%

WI siRNA Selection Program

Whitehead Institute

[78]

9.5

0.019

0.992

53.8%

0.015

0.994

84.6%

DRM RS 0.951

  

18.9

0.021

0.996

72.7%

0.013

0.997

90.9%

DRM RS 0.895

  

20.7

0.032

0.992

66.7%

0.021

0.994

88.9%

DRM RS 0.845

  

38.1

0.032

0.986

54.5%

0.026

0.984

90.9%

DRM RS 0.827

  

51.8

0.037

0.973

42.4%

0.038

0.988

87.9%

  1. Comparison made based on Set T (1,093 siRNA experiments targeting 744 genes). Default settings were used for the 15 online predicting tools. Two sets of parameters (sensitivity, specificity and PPV) were calculated for each predicting tool or rule set. One was for > 90% efficacy (that is, a siRNA experiment was considered as truly effective if it achieved > 90% efficacy), the other one was for > 70% (considered truly effective if > 70% efficacy was reached in the experiment).