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Journal of Computational Chemistry

Changhao Wang, Li Xiao, Ray Luo
Continuum solvent models, particularly those based on the Poisson-Boltzmann equation (PBE), are widely used in the studies of biomolecular structures and functions. Existing PBE developments have been mainly focused on how to obtain more accurate and/or more efficient numerical potentials and energies. However to adopt the PBE models for molecular dynamics simulations, a difficulty is how to interpret dielectric boundary forces accurately and efficiently for robust dynamics simulations. This study documents the implementation and analysis of a range of standard fitting schemes, including both one-sided and two-sided methods with both first-order and second-order Taylor expansions, to calculate molecular surface electric fields to facilitate the numerical calculation of dielectric boundary forces...
March 20, 2017: Journal of Computational Chemistry
Jihène Jerbi, Michael Springborg
The aim of the present study is to provide computational insight using dispersion-corrected density-functional calculations into the reactivity properties of modified cytosine in the gas phase and in aqueous solution, whereby special emphasis is put on systems that are obtained through demethylation and methylation. Since this field is relatively incipient, our goal is to identify relationships between reactivity and stability for the modified compounds to understand their biological functionalities. Our results show that addition of a methyl, hydroxylmethyl, formyl, or carboxyl group reduces the length of the nearest hydrogen bond between the cytosine-guanine (CG) base pair and increases the length of the longest hydrogen bond of the DNA base pair...
March 20, 2017: Journal of Computational Chemistry
Riccardo Volpi, Mathieu Linares
Charge transfer (CT) state separation is one of the most critical processes in the functioning of an organic solar cell. In this article, we study a bilayer of TQ1 and PC71 BM molecules presenting disorder at the interface, obtained by means of Molecular Dynamics. The study of the CT state splitting can be first analyzed through the CT state splitting diagram, introduced in a previous work. Through this analysis, we identify the possibility of CT state splitting within Marcus Theory in function of the electric field...
March 20, 2017: Journal of Computational Chemistry
Andrea Bazzoli, John Karanicolas
Water engages in two important types of interactions near biomolecules: it forms ordered "cages" around exposed hydrophobic regions, and it participates in hydrogen bonds with surface polar groups. Both types of interaction are critical to biomolecular structure and function, but explicitly including an appropriate number of solvent molecules makes many applications computationally intractable. A number of implicit solvent models have been developed to address this problem, many of which treat these two solvation effects separately...
March 20, 2017: Journal of Computational Chemistry
Timothy L Fletcher, Paul L A Popelier
The fully polarizable, multipolar, and atomistic force field protein FFLUX is being built from machine learning (i.e., kriging) models, each of which predicts an atomic property. Each atom of a given protein geometry needs to be assigned such a kriging model. Such a knowledgeable atom needs to be informed about a sufficiently large environment around it. The resulting complexity can be tackled by collecting the 20 natural amino acids into a few groups. Using substituted deca-alanines, we present the proof-of-concept that a given atom's charge can be modeled by a few kriging models only...
March 10, 2017: Journal of Computational Chemistry
Stefania Di Tommaso, Diane Bousquet, Delphine Moulin, Frédéric Baltenneck, Priscilla Riva, Hervé David, Aziz Fadli, Jérôme Gomar, Ilaria Ciofini, Carlo Adamo
Aiming at developing an affordable and easily implementable computational protocol for routine prediction of spectral properties of rigid molecular dyes, density functional theory, and time-dependent density functional theory were used in conjunction with a vibronic coupling scheme for band shape estimate. To predict the perceived color of molecules in solution, a model has been setup linking the UV-vis spectra predicted at ab initio level to the L*a*b* colorimetric parameters. The results show that a mixed protocol, implying the use of a global hybrid functional for the prediction of adiabatic energy differences and a range separated hybrid for the prediction of potential energy curvature, allows perceived colors to be quantitatively predicted, as demonstrated by the comparison of L*a*b* colorimetric parameters obtained from computed and experimental spectra...
March 10, 2017: Journal of Computational Chemistry
Fiona L Kearns, Phillip S Hudson, Henry L Woodcock, Stefan Boresch
We demonstrate that Jarzynski's equation can be used to reliably compute free energy differences between low and high level representations of systems. The need for such a calculation arises when employing the so-called "indirect" approach to free energy simulations with mixed quantum mechanical/molecular mechanical (QM/MM) Hamiltonians; a popular technique for circumventing extensive simulations involving quantum chemical computations. We have applied this methodology to several small and medium sized organic molecules, both in the gas phase and explicit solvent...
March 8, 2017: Journal of Computational Chemistry
Garrett B Goh, Nathan O Hodas, Abhinav Vishnu
The rise and fall of artificial neural networks is well documented in the scientific literature of both computer science and computational chemistry. Yet almost two decades later, we are now seeing a resurgence of interest in deep learning, a machine learning algorithm based on multilayer neural networks. Within the last few years, we have seen the transformative impact of deep learning in many domains, particularly in speech recognition and computer vision, to the extent that the majority of expert practitioners in those field are now regularly eschewing prior established models in favor of deep learning models...
March 8, 2017: Journal of Computational Chemistry
Hujun Shen, Mingsen Deng, Yachao Zhang
It is evident from experiment that electrostatic potential (or dipole potential) is positive inside PC or PE lipid bilayers in the absence of ions. MARTINI coarse-grained (CG) model, which has been widely used in simulating physical properties of lipid bilayers, fails to reproduce the positive value for the dipole potential in the membrane interior. Although the total dipole potential can be correctly described by the BMW/MARTINI model, the contribution from the ester dipoles, playing a nontrivial role in the electrostatic potential across lipid membranes, is neglected by this hybrid approach...
March 7, 2017: Journal of Computational Chemistry
Jesús Jara-Cortés, José Manuel Guevara-Vela, Ángel Martín Pendás, Jesús Hernández-Trujillo
This work provides a novel interpretation of elementary processes of photophysical relevance from the standpoint of the electron density using simple model reactions. These include excited states of H2 taken as a prototype for a covalent bond, excimer formation of He2 to analyze non-covalent interactions, charge transfer by an avoided crossing of electronic states in LiF and conical interesections involved in the intramolecular scrambling in C2 H4 . The changes of the atomic and interaction energy components along the potential energy profiles are described by the interacting quantum atoms approach and the quantum theory of atoms in molecules...
March 7, 2017: Journal of Computational Chemistry
Jurgens Hendrik de Lange, Ignacy Cukrowski
A novel approach for calculating deformation densities is presented, which enables to calculate the deformation density resulting from a change between two chemical states, typically conformers, without the need for radical fragments. The Fragment, Atom, Localized, Delocalized, and Interatomic (FALDI) charge density decomposition scheme is introduced, which is applicable to static electron densities (FALDI-ED), conformational deformation densities (FALDI-DD) as well as orthodox fragment-based deformation densities...
March 2, 2017: Journal of Computational Chemistry
Bin Song, Nathaniel Charest, Herbert Alexander Morriss-Andrews, Valeria Molinero, Joan-Emma Shea
The conformational states adopted by a polymer chain in water are a result of a delicate balance between intra-molecular and water-mediated interactions. Using an explicit representation of the solvent is, however, computationally expensive and it is often necessary to turn to implicit representations. We present a systematic derivation of implicit models of water and study the effect of simplifying the representation of the solvent on the conformations of hydrophobic homopolymers of varying length. Starting from the explicit coarse-grained single site mW water model, we develop an implicit solvent model that reproduces the free energy of the contact pair between two hydrophobic monomers, an implicit solvent model that captures the free energy of contact pair minima, desolvation barrier, and solvent-separated minima, and finally, we consider vacuum simulations...
February 25, 2017: Journal of Computational Chemistry
Florian Krausbeck, Jan-Grimo Sobez, Markus Reiher
An activated fragment which is structurally unstable when considered isolated can be stabilized through binding to a suitable molecular environment; for instance, to a transition-metal fragment. The metal fragment may be designed in a shell-wise build-up of a surrounding molecular environment. However, adding more and more atoms in a consecutive fashion soon leads to a combinatorial explosion of structures, which is unfeasible to handle without automation. Here, we present a fully automated and parallelized framework that constructs such an embedding environment atom-wise...
February 25, 2017: Journal of Computational Chemistry
Sean T Holmes, Shi Bai, Robbie J Iuliucci, Karl T Mueller, Cecil Dybowski
We present a computational study of magnetic-shielding and quadrupolar-coupling tensors of (43) Ca sites in crystalline solids. A comparison between periodic and cluster-based approaches for modeling solid-state interactions demonstrates that cluster-based approaches are suitable for predicting (43) Ca NMR parameters. Several model chemistries, including Hartree-Fock theory and 17 DFT approximations (SVWN, CA-PZ, PBE, PBE0, PW91, B3PW91, rPBE, PBEsol, WC, PKZB, BMK, M06-L, M06, M06-2X, M06-HF, TPSS, and TPSSh), are evaluated for the prediction of (43) Ca NMR parameters...
February 24, 2017: Journal of Computational Chemistry
Duc D Nguyen, Bao Wang, Guo-Wei Wei
Poisson-Boltzmann (PB) model is one of the most popular implicit solvent models in biophysical modeling and computation. The ability of providing accurate and reliable PB estimation of electrostatic solvation free energy, ΔGel, and binding free energy, ΔΔGel, is important to computational biophysics and biochemistry. In this work, we investigate the grid dependence of our PB solver (MIBPB) with solvent excluded surfaces for estimating both electrostatic solvation free energies and electrostatic binding free energies...
February 16, 2017: Journal of Computational Chemistry
Greg Starek, J Alfredo Freites, Simon Bernèche, Douglas J Tobias
We used targeted molecular dynamics, informed by experimentally determined inter-atomic distances defining the pore region of open and closed states of the KvAP voltage-gated potassium channel, to generate a gating pathway of the pore domain in the absence of the voltage-sensing domains. We then performed umbrella sampling simulations along this pathway to calculate a potential of mean force that describes the free energy landscape connecting the closed and open conformations of the pore domain. The resulting energetic landscape displays three minima, corresponding to stable open, closed, and intermediate conformations with roughly similar stabilities...
February 16, 2017: Journal of Computational Chemistry
Evelio Francisco, Daniel Menéndez Crespo, Aurora Costales, Ángel Martín Pendás
Interatomic exchange-correlation energies correspond to the covalent energetic contributions to an interatomic interaction in real space theories of the chemical bond, but their widespread use is severely limited due to their computationally intensive character. In the same way as the multipolar (mp) expansion is customary used in biomolecular modeling to approximate the classical Coulomb interaction between two charge densities ρA(r) and ρB(r), we examine in this work the mp approach to approximate the interatomic exchange-correlation (xc) energies of the Interacting Quantum Atoms method...
February 16, 2017: Journal of Computational Chemistry
Ryuhei Harada, Yu Takano, Yasuteru Shigeta
The folding processes of mini-proteins (FSD-EY/FBPWW28 domain) were computationally investigated by an enhanced conformational sampling method. Through the analyses of trajectories, these mini-proteins had multiple folding pathways different from a simple two-state folding, and the multiple folding processes were initiated by partial formations of secondary structures. These findings can be used to understand the folding of large proteins, that is, which secondary structures are partially folded in the early process, and how the remaining parts are sequentially folded...
February 13, 2017: Journal of Computational Chemistry
Álvaro Vega-Vega, Carmen Barrientos, Antonio Largo
A theoretical study of monoboronyls of different metals has been carried out. We have chosen Mg as representative of s-block elements, Al for the p-block, and Group 11 metals (Cu, Ag, and Au) for the d-block. Different behaviors are observed: bonding through the oxygen atom is preferred in the case of Al, for all Group 11 monoboronyls bonding through the boron atom prevails and both interactions give rise to almost isoenergetic compounds in the case of Mg. Predictions for the spectroscopic parameters relevant for rotational and vibrational spectroscopy of the different competitive species are provided...
February 12, 2017: Journal of Computational Chemistry
Hossein Mohammadiarani, Harish Vashisth
Insulin plays a crucial physiological role in glucose control by initiating a number of signaling events on binding and activating its cell surface receptor. Insulin mimics have, therefore, become promising agents for treating diabetes and to probe the mechanism of interaction of insulin with its receptor. Specifically, many insulin-mimetic peptide sequences have been discovered and found to selectively function as agonists and antagonists, but their structures and the mechanistic details of their interactions with the receptor remain challenging to characterize...
February 12, 2017: Journal of Computational Chemistry
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