Free energy, entropy, and induced fit in host-guest recognition: calculations with the second-generation mining minima algorithm.
This study applies a novel computational method to study molecular recognition for three sets of synthetic hosts: molecular clips, molecular tweezers, and a synthetic barbiturate receptor. The computed standard free energies of binding for the 12 binding reactions agree closely with experiment and provide insight into the roles of configurational entropy, preorganization, and induced fit in the systems studied. The computed changes in configurational entropy are comparable in magnitude to the changes in mean potential plus solvation energy, and they result primarily from changes in the average width of the energy wells upon binding. A strong correlation is observed between the changes in configurational energy and configurational entropy upon binding, resulting in near-linear compensation analogous to classical entropy-enthalpy compensation.
Contribution from the Center for Advanced Research in Biotechnology, 9600 Gudelsky Drive, Rockville, MD 20850, USA.
Chia-En
CE
Chang
Michael K
MK
Gilson
D000465:Algorithms; D001463:Barbiturates / Q000737:chemistry; D019277:Entropy; D008956:Models, Chemical; D008958:Models, Molecular; D008968:Molecular Conformation; D011963:Receptors, GABA-A / Q000737:chemistry
D001463:Barbiturates; D011963:Receptors, GABA-A; C030975:barbiturate receptor