Geometry Optimization with Machine Trained Topological Atoms.

The geometry optimization of a water molecule with a novel type of energy function called FFLUX is presented, which bypasses the traditional bonded potentials. Instead, topologically-partitioned atomic energies are trained by the machine learning method kriging to predict their IQA atomic energies for a previously unseen molecular geometry. Proof-of-concept that FFLUX's architecture is suitable for geometry optimization is rigorously demonstrated.

Distinguishing Epimers Through Raman Optical Activity.

The Raman optical activity spectra of the epimers β-D-glucose and β-D-galactose, two monosaccharides of biological importance, have been calculated using molecular dynamics combined with a quantum mechanics/molecular mechanics approach. Good agreement between theoretical and experimental spectra is observed for both monosaccharides. Full band assignments have been carried out, which has not previously been possible for carbohydrate epimers.

The Raman optical activity of β-D-xylose: where experiment and computation meet.

Besides its applications in bioenergy and biosynthesis, β-d-xylose is a very simple monosaccharide that exhibits relatively high rigidity. As such, it provides the best basis to study the impact of different solvation shell radii on the computation of its Raman optical activity (ROA) spectrum. Indeed, this chiroptical spectroscopic technique provides exquisite sensitivity to stereochemistry, and benefits much from theoretical support for interpretation.

Calculation of Raman optical activity spectra for vibrational analysis.

By looking back on the history of Raman Optical Activity (ROA), the present article shows that the success of this analytical technique was for a long time hindered, paradoxically, by the deep level of detail and wealth of structural information it can provide. Basic principles of the underlying theory are discussed, to illustrate the technique's sensitivity due to its physical origins in the delicate response of molecular vibrations to electromagnetic properties. Following a short review of significant advances in the application of ROA by UK researchers, we dedicate two extensive sections to the technical and theoretical difficulties that were overcome to eventually provide predictive power to computational simulations in terms of ROA spectral calculation.

Conformational dynamics of carbohydrates: Raman optical activity of D-glucuronic acid and N-acetyl-D-glucosamine using a combined molecular dynamics and quantum chemical approach.

As two biologically and medically relevant monosaccharides, the constituents of hyaluronic acid, d-glucuronic acid and N-acetyl-d-glucosamine, constitute perfect test cases for the development of carbohydrate-specific structural methods. These two molecules have been analysed by Raman optical activity (ROA), a spectroscopic technique exhibiting exquisite sensitivity to stereochemistry. We show that it is possible to support the experiment with a simulation approach combining density functional theory (DFT) and molecular dynamics (MD), both using explicit solvation.