Table 1 The top 10 informative features to predict growth rate for each of the three layers.

From: Multi-omics integration accurately predicts cellular state in unexplored conditions for Escherichia coli

Rank

Gene

Function

Protein

Function

Metabolite

Category

1

wcaF (0.26)

Predicted acyl transferase

TufB (0.12)

Elongation factor Tu

Cytosine (0.12)

Nucleobase

2

yffO (0.17)

CPZ-55 prophage; predicted protein

Syd (0.04)

SecY-interacting protein

L-glutamine (0.11)

Amino acids

3

mreB (0.09)

Dynamic cytoskeletal protein MreB

AnsA (0.04)

Asparaginase I

L-alanine (0.07)

Amino acids

4

yfiP (0.09)

Conserved protein

ParC (0.04)

Dimer of topoisomerase IV subunit A

L-threonine (0.07)

Amino acids

5

tyrP (0.08)

Tyrosine:H+ symporter TyrP

PyrH (0.01)

UMP kinase

Nicotinamide (0.04)

Vitamin

6

ycbT (0.08)

Predicted fimbrial-like adhesin protein

TrxB (0.01)

Thioredoxin reductase

L-valine (0.04)

Amino acids

7

gfcC (0.08)

Conserved protein

GloB (0.01)

Glyoxalase II

Azelaic acid (0.04)

Fatty acids and conjugates

8

solA (0.08)

N-methyltryptophan oxidase

SerS (0.009)

Seryl-tRNA synthetase

D-glycerol-1-phosphate (0.02)

Glycerolipid metabolism

9

fecA (0.08)

Ferric citrate outer membrane porin FecA

RpsL (0.009)

30S ribosomal subunit protein S12

L-ornithine (0.008)

Non-proteinogen amino acid

10

ynfB (0.07)

Predicted protein

PotD (0.004)

Putrescine/spermidine ABC transporter

−

−

  1. LASSO constrained regression was used to select informative features for predicting growth rate. The number in parentheses represents absolute weight and is an indicator of the significance of that molecule.