Table 1 Summary of PROM, IDREAM, and PRIME model features.

From: Quantitative prediction of conditional vulnerabilities in regulatory and metabolic networks using PRIME

Mtb model features

MTBPROM1.011

MTBPROM2.012

PROMa

PROMa (EGRIN-PD)

IDREAMb

PRIME

Metabolic model

iNJ661

iSM810

iEK1011

iEK1011

iEK1011

iEK1011

Number of reactions

1025

938

1229

1229

1229

1229

Number of metabolic genes in the metabolic network

661

810 (759 genes in iEK1011)

1011

1011

1011

1011

Regulatory network

Balazsi 2008

Minch 2015

Minch 2015

EGRIN-PDc

EGRINc by Elastic net (FDR < 0.25)

EGRINc by Bayesian regression (Precision = 50%)

Number of transcription factors

30

104

104

131

142

142

Number of interactions

218

2555

2555

2410

3643

4820

Number of genes in the regulatory network (metabolic / total)

178/178

647/647

605/647

650/1509

641/2487

750/2905

  1. Chandrasekaran et al.11, Ma et al.12.
  2. aThe PROM model was updated in this study by incorporating the latest MN model for Mtb.
  3. bThe IDREAM model was constructed for Mtb in this study to evaluate performance relative to the other methods.
  4. cPlease see Supplementary Fig. 4 for the differences in the EGRIN models derived using Inferelator.