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Olgun Guvench

Publications and source records attributed to Olgun Guvench.

5 recordsLinked to original sources

Quantum mechanical analysis of 1,2-ethanediol conformational energetics and hydrogen bonding.

A proper understanding of the conformational energetics of 1,2-ethanediol (ethylene glycol) is important to the construction of molecular mechanics force fields for the treatment of carbohydrates since these biologically important molecules have a prevalence of vicinal hydroxyl groups. In the present study, quantum mechanical analysis of the 10 unique minimum-energy conformations of ethylene glycol is performed by using 10 model chemistries ranging from HF/6-311++G(d,p) up to a hybrid method that approximates CCSD(T)/cc-pVQZ. In addition, natural bond orbital (NBO) analysis of these conformations with deletion of pairings of CO bond/antibonding and lone pair/antibonding orbitals is used to investigate contributions from the "gauche" effect to ethylene glycol conformational energetics. MP2 with the "correlation consistent" basis sets and DFT/6-311++G(d,p) do the best job of matching the approximate CCSD(T)/cc-pVQZ energies while MP2/6-31G(d) and Hartree-Fock both fare poorly. NBO analysis shows the conformational energies to be independent of the deletion of matrix elements associated with (i) CO bonding and antibonding orbital interactions and (ii) lone pair and antibonding orbital interactions, whereas the energetic ordering correlates with geometric parameters consistent with internal hydrogen bonds. Thus, the present results suggest that standard molecular mechanics potential energy functional forms, which lack explicit terms to account for stereoelectronic effects, are appropriate for carbohydrates.

Ethylene Glycol↗

Tryptophan side chain electrostatic interactions determine edge-to-face vs parallel-displaced tryptophan side chain geometries in the designed beta-hairpin "trpzip2".

The interaction geometries of the four tryptophan (Trp) side chains in the 12-residue designed beta-hairpin trpzip2 are investigated using all-atom explicit-solvent molecular dynamics simulations. The experimentally observed edge-to-face (EtF) pairwise interaction geometries are stable on a time scale of 10 ns. However, removing the electrostatic multipoles of the Trp side chains while retaining the dipoles of the side chains' NH moieties induces a conformational change to a geometry in which three of the four side chains interact in a parallel-displaced (PD) manner. Free energy simulations of the Etf to PD conformational change reveal that, with the side chain multipole moments intact (+MP), the EtF conformation is preferred by 5.79 kcal/mol. Conversely, with only the dipole moments of the side chain NH moieties intact (-MP), the PD conformation's free energy is more favorable by 1.71 kcal/mol. In contrast to energetic similarities for Trp side chain-water electrostatic and Trp side chain-Trp side chain and Trp side chain-water van der Waals, +MP Trp side chain-Trp side chain electrostatic interactions are more favorable by 4.21 kcal/mol in the EtF conformation, while in the -MP case the EtF and PD conformations' Trp side chain-Trp side chain electrostatic energies are nearly identical. The results highlight the importance of electrostatic multipole moments in determining aromatic-aromatic interaction geometries in aqueous biomolecular systems and argue for the inclusion of this physics in simplified models used for protein-ligand docking and protein structure prediction, possibly through a truncated Coulomb term between aromatic moieties.

Computer Simulation↗

Receptor rigidity and ligand mobility in trypsin-ligand complexes.

The trypsin-like serine proteases comprise a structurally similar family of proteins with a wide diversity of biological functions. Members of this family play roles in digestion, hemostasis, immune responses, and cancer metastasis. Bovine trypsin is an archetypical member of this family that has been extensively characterized both functionally and structurally, and that preferentially hydrolyzes Arg/Lys-Xaa peptide bonds. We have used molecular dynamics (MD) simulations to study bovine trypsin complexed with the two noncovalent small-molecule ligands, benzamidine and tranylcypromine, that have the same hydrogen-bond donating moieties as Arg and Lys side-chains, respectively. Multiple (10) simulations ranging from 1 ns to 2.2 ns, with explicit water molecules and periodic boundary conditions, were performed. The simulations reveal that the trypsin binding pocket residues are relatively rigid regardless of whether there is no ligand, a high-affinity ligand (benzamidine), or a low-affinity ligand (tranylcypromine). The thermal average of the conformations sampled by benzamidine bound to trypsin is planar and consistent with the planar internal geometry of the benzamidine crystallographic model coordinates. However, the most probable bound benzamidine conformations are +/-25 degrees out of plane, implying that the observed X-ray electron density represents an average of densities from two mirror symmetric, nonplanar conformations. Solvated benzamidine has free energy minima at +/-45 degrees , and the induction of a more planar geometry upon binding is associated with approximately 1 kcal/mol of intramolecular strain. Tranylcypromine's hydrogen-bonding pattern in the MD differs substantially from that inferred from the X-ray electron density. Early in simulations of this system, tranylcypromine adopts an alternative binding conformation, changing from the crystallographic conformation, with a direct hydrogen bond between its amino moiety and the backbone oxygen of Gly219, to one having a bridging water molecule. This result is consistently seen with the CHARMM22, Amber, or OPLS-AA force fields. The trypsin-tranylcypromine hydrogen-bonding pattern observed in the simulations also occurs as the crystallographic binding mode of the Lys15 side-chain of bovine pancreatic trypsin inhibitor bound to trypsin. In this latter cocrystal, a bridging crystallographic water does reside between the side-chain's amino group and the trypsin Gly219 backbone oxygen. Furthermore, the trypsin-tranylcypromine simulations sample two different stable noncrystallographic binding poses. These data suggest that some of the electron density ascribed to tranylcypromine in the X-ray model is rather due to a bound water molecule, and that multiple tranylcypromine binding conformations (crystallographic disorder) may be the cause of ambiguous electron density. The combined trypsin-benzamidine and trypsin- tranylcypromine results highlight the ability of simulations to augment protein-ligand complex structural data by deconvoluting the effects of thermal and structural averaging, and by finding energetically optimal ligand and bound water positions for weakly bound ligands.

Animals↗

Efficient approximate all-atom solvent accessible surface area method parameterized for folded and denatured protein conformations.

Continuing advances in computer hardware and software are permitting atomic-resolution molecular simulations for longer time scales and on larger systems. Despite these advances, routinely performing atomistic simulations with explicit water for even small proteins, which reach the folding time of such proteins, remains intractable for the foreseeable future. An implicit approximation of the solvent environment using a solvent accessible surface area (SASA) term in a molecular mechanics potential function allows exclusion of the explicit water molecules in protein simulations. This reduces the number of particles by approximately an order of magnitude. We present a fast and acceptably accurate approximate all-atom SASA method parameterized using a set of folded and heat-denatured conformations of globular proteins. The parameters are shown to be transferable to folded and heat-denatured conformations for another set of proteins. Calculation of the approximate SASA and the associated derivatives with respect to atomic positions for a 4644 atom protein requires only 1/11th the CPU time required for calculation of the nonbonded interactions for this system. On a per atom basis, this algorithm is three times faster than the fastest previously published approximate SASA method and achieves the same level of accuracy.

Algorithms↗

Application of the frozen atom approximation to the GB/SA continuum model for solvation free energy.

The generalized Born/surface area (GB/SA) continuum model for solvation free energy is a fast and accurate alternative to using discrete water molecules in molecular simulations of solvated systems. However, computational studies of large solvated molecular systems such as enzyme-ligand complexes can still be computationally expensive even with continuum solvation methods simply because of the large number of atoms in the solute molecules. Because in such systems often only a relatively small portion of the system such as the ligand binding site is under study, it becomes less attractive to calculate energies and derivatives for all atoms in the system. To curtail computation while still maintaining high energetic accuracy, atoms distant from the site of interest are often frozen; that is, their coordinates are made invariant. Such frozen atoms do not require energetic and derivative updates during the course of a simulation. Herein we describe methodology and results for applying the frozen atom approach to both the generalized Born (GB) and the solvent accessible surface area (SASA) parts of the GB/SA continuum model for solvation free energy. For strictly pairwise energetic terms, such as the Coulombic and van-der-Waals energies, contributions from pairs of frozen atoms can be ignored. This leaves energetic differences unaffected for conformations that vary only in the positions of nonfrozen atoms. Due to the nonlocal nature of the GB analytical form, however, excluding such pairs from a GB calculation leads to unacceptable inaccuracies. To apply a frozen-atom scheme to GB calculations, a buffer region within the frozen-atom zone is generated based on a user-definable cutoff distance from the nonfrozen atoms. Certain pairwise interactions between frozen atoms in the buffer region are retained in the GB computation. This allows high accuracy in conformational GB comparisons to be maintained while achieving significant savings in computational time compared to the full (nonfrozen) calculation. A similar approach for using a buffer region of frozen atoms is taken for the SASA calculation. The SASA calculation is local in nature, and thus exact SASA energies are maintained. With a buffer region of 8 A for the frozen-atom cases, excellent agreement in differences in energies for three different conformations of cytochrome P450 with a bound camphor ligand are obtained with respect to the nonfrozen cases. For various minimization protocols, simulations run 2 to 10.5 times faster and memory usage is reduced by a factor of 1.5 to 5. Application of the frozen atom method for GB/SA calculations thus can render computationally tractable biologically and medically important simulations such as those used to study ligand-receptor binding conformations and energies in a solvated environment.

Macromolecular Substances↗