Collective variable modelling of nucleic acids

Collective variable models continue to contribute to our knowledge of nucleic acids. The past year has seen considerable progress both in modelling sequence-dependent effects on nucleic acid conformation and in understanding how proteins or external stresses influence nucleic acid structure. Algorithmic developments have also allowed collective models to be applied to studies of thermal fluctuations and dynamics. For larger systems, models with varying degrees of resolution are being refined and applied to nucleic acids containing hundreds or thousands of nucleotides.