Computation of entropy contribution to protein-ligand binding free energy

Strong Adverse Contribution of Conformational Dynamics to Streptavidin-Biotin Binding

Molecular dynamics plays an important role for the biological function of proteins. For protein ligand interactions, changes of conformational entropy of protein and hydration layer are relevant for the binding process. Quasielastic neutron scattering (QENS) was used to investigate differences in protein dynamics and conformational entropy of ligand-bound and ligand-free streptavidin. Protein dynamics were probed both on the fast picosecond time scale using neutron time-of-flight spectroscopy and on the slower nanosecond time scale using high-resolution neutron backscattering spectroscopy. We found the internal equilibrium motions of streptavidin and the corresponding mean square displacements (MSDs) to be greatly reduced upon biotin binding. On the basis of the observed MSDs, we calculated the difference of conformational entropy ΔS_conf of the protein component between ligand-bound and ligand-free streptavidin. The rather large negative ΔS_conf value (-2 kJ mol^-1 K^-1 on the nanosecond time scale) obtained for the streptavidin tetramer seems to be counterintuitive, given the exceptionally high affinity of streptavidin-biotin binding. Literature data on the total entropy change ΔS observed upon biotin binding to streptavidin, which includes contributions from both the protein and the hydration water, suggest partial compensation of the unfavorable ΔS_conf by a large positive entropy gain of the surrounding hydration layer and water molecules that are displaced during ligand binding.

Novel potential inhibitors for adenylylsulfate reductase to control souring of water in oil industries

The biogenic production of hydrogen sulfide gas by sulfate-reducing bacteria (SRB) causes serious economic problems for natural gas and oil industry. One of the key enzymes important in this biologic process is adenosine phosphosulfate reductase (APSr). Using virtual screening technique we have discovered 15 compounds that are novel potential APSr inhibitors. Three of them have been selected for molecular docking and microbiological studies which have shown good inhibition of SRB in the produced water from the oil industry.

Sweet taste receptor gene variation and aspartame taste in primates and other species

Aspartame is a sweetener added to foods and beverages as a low-calorie sugar replacement. Unlike sugars, which are apparently perceived as sweet and desirable by a range of mammals, the ability to taste aspartame varies, with humans, apes, and Old World monkeys perceiving aspartame as sweet but not other primate species. To investigate whether the ability to perceive the sweetness of aspartame correlates with variations in the DNA sequence of the genes encoding sweet taste receptor proteins, T1R2 and T1R3, we sequenced these genes in 9 aspartame taster and nontaster primate species. We then compared these sequences with sequences of their orthologs in 4 other nontasters species. We identified 9 variant sites in the gene encoding T1R2 and 32 variant sites in the gene encoding T1R3 that distinguish aspartame tasters and nontasters. Molecular docking of aspartame to computer-generated models of the T1R2 + T1R3 receptor dimer suggests that species variation at a secondary, allosteric binding site in the T1R2 protein is the most likely origin of differences in perception of the sweetness of aspartame. These results identified a previously unknown site of aspartame interaction with the sweet receptor and suggest that the ability to taste aspartame might have developed during evolution to exploit a specialized food niche.

Entropic cost of protein-ligand binding and its dependence on the entropy in solution

Two theoretical formulations are proposed and compared for the loss of translational and rotational entropy upon protein-ligand binding in water. The two theories share the same approach to evaluate the translational and rotational entropy of the ligand when bound. The potential of the bound ligand is modeled by six harmonic oscillators that are parametrized from the force and torque magnitudes measured in a molecular dynamics simulation, yielding vibrational and librational entropies. In the aqueous phase, the theories differ because there is no unique way to assign the total entropy to molecules in solution. In one approach, the ligand is allowed unrestricted access to the full solution volume at the standard concentration and is assigned the same translational and rotational entropy as if it were an ideal gas. We term this a "molecule-frame" (MF) theory because it considers configurational space in the reference frame of the molecule of interest. The entropy of the solvent is penalized because it is excluded from the molecule's volume. In the second theory, all molecules including the solvent are confined by their neighbors in mean-field configurational volumes. This we term a "system-frame" (SF) theory because the configurational space available to all molecules is considered in the reference frame of the whole system. Molecules have vibrational and librational entropy in the same way as they do when bound. In addition, the discrete size of the solvent molecules quantizes the configurational space into an effective number of minima according to the solute molecule's standard concentration and the mean volume of a solvent molecule. This leads to the cratic entropy expressed in terms of the solute molecule's mole fraction. The equivalent number of minima in rotational space depends on both the solute molecule's volume and the solvent molecule's volume. This leads to an equation for the orientational entropy based on the proposed concept of "angle fraction". The MF and SF theories are applied to calculate the translational and rotational entropy losses involved in the formation of six different protein-ligand complexes, in two of which the ligand is water. The MF entropy losses range from -80 to -142 J K(-1) mol(-1) for ligands at the 1 M standard-state concentration and from -52 to -63 J K(-1) mol(-1) for water at the 55.6 M standard-state concentration. They depend logarithmically on both the number and strength of interactions between the ligand and protein through the forces and torques. This is observed to lead to moderate dependencies on the ligands' moments of inertia and masses. The SF entropy losses are smaller and range from -50 to -75 J K(-1) mol(-1) for ligands at the 1 M standard-state concentration and from 0 to -12 J K(-1) mol(-1) for water. They depend logarithmically on the ligand solvent's molecular volume and weakly on the relative strengths of the ligand's interactions with the protein and water. The cratic entropy loss in water at the standard concentration is constant and is also demonstrated to be implicit in MF theories. Entropy losses from the two approaches are also compared with those from other computational approaches and with experiment. The use of the force and torque magnitudes leads to smaller bound volumes than are obtained from ligand-displacement approaches. The general agreement of the SF entropy losses with those from experiment suggests that the SF theory is more consistent with the assumptions made in experimental measurements than the MF solvation theories, which would require a compensating entropy gain in the solvent in order to agree.

Computation of the contribution from the cavity effect to protein-ligand binding free energy

We present results of the investigation of the cavity creation/annihilation effect in view of formation of the protein-ligand (PL) complexes. The protein and ligand were considered as rigid structures. The change of the cavity creation/annihilation free energy DeltaG(cav) was calculated for three PL complexes using the thermodynamic integration procedure with the original algorithm for growing the interaction potential between the cavity and the water molecules. The thermodynamic cycle consists of two stages, annihilation of the cavity of the ligand for the unbound state and its creation at the active site of the protein (bound state). It was revealed that for all complexes under investigation, the values of DeltaG(cav) are negative and favorable for binding. The main contribution to DeltaG(cav) appears due to the annihilation of the cavity of the ligand. All computations were made using the parallel version of CAVE code, elaborated in our preceding work.