Table 1 Symmetric and asymmetric depth-dependent potentials derived from experimental data or statistics.

From: Statistically derived asymmetric membrane potentials from α-helical and β-barrel membrane proteins

author

year

α/β a

E/S b

S/A c

ref

comments

#prot d

embedding e

SASA f

bin size

functional form

Hessa & von Heijne, biological scale

2007

α

exp

sym

22

Inserted a TM segment into the leader peptidase protein, into which all amino acids were introduced at different depths. Translocation into microsomes was quantified by the number of glycosylation sites on either terminus of the TM segment. 324 19-residue TM segments were measured to compute ΔΔG’s

1

center of TM segment is at membrane center

protein is 3-helix bundle, so most are lipid-exposed

residue

double Gaussian for WY, single Gaussian for others

Elazar & Fleishman, dsTbL

2016

α

exp

asym

12

Combined sequence libraries with TOXCAT assay in whole cells. Measured TM span expression, insertion and association depending on residue depth with orthogonal antibiotic resistance markers. 472 mutants were tested 100 times each in a high-throughput manner to compute ΔΔG’s

1

membrane center was estimated by aligning ILMF profiles’ troughs

single helix, so all lipid-exposed

residue

4 D polynomials

Senes & DeGrado, Ez potential

2007

α

stat

sym

23

statistical potential derived from 24 MPs in a symmetric manner; insufficient counts for C

24

protein COM at membrane center

no distinction

2 Å

double Gaussian for WY, sym sigmoidal for others

Ulmschneider, implicit membrane potential

2005

α

stat

asym

33

statistical potential derived from 46 MPs in an asymmetric manner; resolution ≤4 Å; insufficient counts for CST;

46

centered DSSP TM spans at membrane center

SASA probe radius 1.4 Å

2 Å

double Gaussian for RKDEHWY, single Gaussian else

Schramm & DeGrado, Ez potential

2012

α

stat

asym

25

statistical potential derived from 76 MPs in an asymmetric manner; sequence similarity ≤30%, resolution ≤ 3.5 Å

76

OPM embedding

SASA probe radius 1.9 Å

2 Å

sigmoid, Gaussian or combination of the two

this work

2018

α

stat

asym

this

statistical potential derived from 239 MPs in an asymmetric manner; sequence similarity ≤30%, resolution ≤3 Å

239

topology from OPM but embedding from PDBTM

lipid-exposed vs buried35

3 Å

double Gaussian

Moon & Fleming, sidechain hydrophobicity scale

2011

β

exp

sym

20

reversible GnHCl (un)folding of OmpLA into DLPC vesicles to derive symmetric profile; an A residue at the membrane center was mutated into all 19 other amino acids; 3 titrations for WT and 2 titrations for mutants to compute ΔΔG’s; potential derived for LR

1

membrane center set halfway between aromatic girdles

only lipid-exposed residues

residue

single Gaussian for LR, no fit parameters given

MacDonald & Fleming, sidechain hydrophobicity scale

2016

β

exp

sym

21

reversible GnHCl (un)folding of OmpLA into DLPC vesicles; residues at different depths were mutated into WYF; 3 titrations for WT and 2 titrations for mutants to compute ΔΔG’s;

1

center from MD simulations: COM of the protein and phosphate atoms

only lipid-exposed residues

residue

linear for WYF

Hsieh & Nanda, Ez potential

2012

β

stat

sym

26

statistical potential derived from 35 MPs in a symmetric manner; sequence similarity ≤26%; insufficient counts for CM

35

embedding from OPM TM spans

SASA > 0.2

3 Å

double Gaussian for WYFG, sym sigmoid for others

Wimley

2002

β

stat

asym

54

statistical 3-state hydrophobicity scale from 15 non-redundant β-barrels;

15

aromatic girdles were used

lipid vs water exposed

regions

no fitting done

Jackups & Liang, positive outside rule

2006

β

stat

asym

27

sequence similarity ≤ 26%; resolution ≤2.6 Å; derived statistics for regions, depending on z and burial, but no depth-dependent potential like the others, they use it to derive a basic energy function for barrel prediction based on H-bonds

19

embedding from OPM TM spans

regions

regions

no fitting done

Slusky & Dunbrack, charge outside rule

2013

β

stat

asym

15

statistical potential derived from 55 MPs in an asymmetric manner; sequence similarity ≤50%; resolution ≤3.5 Å; only averages of AA groups were fit, but not individual AA types; insufficient counts for PCMT

55

N/C termini are inside, membrane center defined where phospholipid meets LPS and aromatic girdle set to −12Å

lipid vs water exposed

3 Å

RKDE to P2, NQHS to P2, AGILV to P2, FWY to P4, no fitting parameters given

Lin & Liang, TMSIP

2017

β

stat

asym

28

19 MPs were used to derive an energy function that includes a membrane burial term and inter- and intra-strand H-bond interaction energies27, the energy function was used to derive a statistical potential for ΔΔG’s tested on 24 MPs; sequence similarity ≤26%; resolution ≤2.6 Å

19

embedding from OPM TM spans

lipid vs water exposed

residue (regions for deri- vation)

double Gaussian for WY, single Gaussian for others

this work

2018

β

stat

asym

this

statistical potential derived from 96 MPs in an asymmetric manner; sequence similarity ≤50%, resolution ≤3 Å; insufficient counts for C

96

topology from OPM but embedding from PDBTM

lipid-exposed vs buried35

3 Å

4D polynomial for IM, double Gaussian for others

  1. aα-helical or β-barrel.
  2. bExperimental or statistical.
  3. cSymmetric or asymmetric.
  4. dnumber of proteins used for derivation.
  5. eHow proteins were embedded/centered in the membrane.
  6. fwas distinction made between lipid-exposed and lipid-buried residues or how was SASA calculated.