Electronic properties of a graphene device with peptide adsorption: insight from simulation.

In this work, to explain doping behavior of single-layer graphene upon HSSYWYAFNNKT (P1) and HSSAAAAFNNKT (P1-3A) adsorption in field-effect transistors (GFETs), we applied a combined computational approach, whereby peptide adsorption was modeled by molecular dynamics simulations, and the lowest energy configuration was confirmed by density functional theory calculations. On the basis of the resulting structures of the hybrid materials, electronic structure and transport calculations were investigated. We demonstrate that π-π stacking of the aromatic residues and proximate peptide backbone to the graphene surface in P1 have a role in the p-doping.

Computational study of the absorption spectra of green fluorescent protein mutants.

In this work, we present a theoretical study of the relationship between molecular structure and the red-shift in absorption spectra of S65G and S65T green fluorescent protein (GFP) mutants. To identify the effects of the protein environment, we combined results from molecular dynamics (MD) simulations and quantum mechanics/molecular mechanics calculations to obtain structural properties, and applied time-dependent density functional theory to calculate the excitation energies. By using results from the MD simulations, we were able to provide a systematic analysis of the structural details that may effect the red-shift in the absorption spectra when taking into account temperature effects.

Molecular modeling of green fluorescent protein: structural effects of chromophore deprotonation.

Molecular dynamics (MD) simulations were carried out to study the conformational rearrangement induced by deprotonation of the fluorescent chromophore in GFP, as well as the associated changes in the hydrogen-bonding network. For both the structures with either a neutral or an anionic chromophore, it was found that the beta-barrel was stable and rigid, and the conformation of the chromophore was consistent with the available x-ray structure. The conformational change in Thr203 due to deprotonation was also found to be consistent with the three-state isomerization model.

Halogenated aliphatic toxicity QSARs employing metabolite descriptors.

The toxic effects from exposure to halogenated hydrocarbons (HAs), which are produced in large amounts and used in a variety of applications, are well-known. Previously, QSARs for the toxicity of a series of HAs in vitro have been studied extensively. In this work, using a composite toxicity metric calculated from a set of five in vitro hepatotoxicity endpoints determined for 20 HAs, we find that QSARs derived using quantum descriptors calculated from the neutral HA species are statistically similar to QSARs calculated from HA metabolites.

Quantum descriptors for predictive toxicology of halogenated aliphatic hydrocarbons.

In order to improve Quantitative Structure-Activity Relationships (QSARs) for halogenated aliphatics (HA) and to better understand the biophysical mechanism of toxic response to these ubiquitous chemicals, we employ improved quantum-mechanical descriptors to account for HA electrophilicity. We demonstrate that, unlike the lowest unoccupied molecular orbital energy, ELUMO, which was previously used as a descriptor, the electron affinity can be systematically improved by application of higher levels of theory. We also show that employing the reciprocal of ELUMO, which is more consistent with frontier molecular orbital (FMO) theory, improves the correlations with in vitro toxicity data.