Computationally accessible method for estimating free energy changes resulting from site-specific mutations of biomolecules: Systematic model building and structural/hydropathic analysis of deoxy and oxy hemoglobins
Jc. Burnett et al., Computationally accessible method for estimating free energy changes resulting from site-specific mutations of biomolecules: Systematic model building and structural/hydropathic analysis of deoxy and oxy hemoglobins, PROTEINS, 42(3), 2001, pp. 355-377
A practical computational method for the molecular modeling of free-energy
changes associated with protein mutations is reported. The de novo generati
on, optimization, and thermodynamic analysis of a wide variety of deoxy and
oxy hemoglobin mutants are described in detail. Hemoglobin is shown to be
an ideal candidate protein for study because both the native deoxy and oxy
states have been crystallographically determined, and a large and diverse p
opulation of its mutants has been thermodynamically characterized. Noncoval
ent interactions for all computationally generated hemoglobin mutants are q
uantitatively examined with the molecular modeling program HINT (Hydropathi
c INTeractions), HINT scores all biomolecular noncovalent interactions, inc
luding hydrogen bonding, acid-base, hydrophobic-hydrophobic, acid-acid, bas
e-base, and hydrophobic-polar, to generate dimer-dimer interface "scores" t
hat are translated into free-energy estimates. Analysis of 23 hemoglobin mu
tants, in both deoxy and oxy states, indicates that the effects of mutant r
esidues on structurally bound waters (and visa versa) are important for gen
erating accurate free-energy estimates. For several mutants, the addition/e
limination of structural waters is key to understanding the thermodynamic c
onsequences of residue mutation. Good agreement is found between calculated
and experimental data for deoxy hemoglobin mutants (r = 0.79, slope = 0.78
, standard error = 1.4 kcal mol(-1), n = 23), Less accurate estimates were
initially obtained for oxy hemoglobin mutants (r = 0.48, slope = 0.47, stan
dard error = 1.4 kcal mol(-1), n = 23). However, the elimination of three o
utliers from this data set results in a better correlation of r = 0.87 (slo
pe = 0.72, standard error = 0.75, n = 20). These three mutations may signif
icantly perturb the hemoglobin quaternary structure beyond the scope of our
structural optimization procedure. The method described is also useful in
the examination of residue ionization states in protein structures. Specifi
cally, we find an acidic residue within the native deoxy hemoglobin dimer-d
imer interface that may be protonated at physiological pH. The final analys
is is a model design of novel hemoglobin mutants that modify cooperative fr
ee energy (DeltaG(c))-the energy barrier between the allosteric transition
from deoxy to oxy hemoglobin, Proteins 2001;42: 355-377. (C) 2000 Wiley-Lis
s, Inc.