A major emphasis in developing these new methods is placed on the global approach, which takes advantage of the added information content of multiple datasets from different experimental methods and experimental conditions. The global approach presents new challenges with respect to optimization algorithms and requires new paradigms to deal with the large amounts of data from combined experiments (such as multi-speed, multi-wavelength, and multi-concentration sedimentation velocity and equilibrium experiments).
Our current efforts focus on the development of novel adaptive space-time finite element solutions to partial differential equations describing sedimentation velocity experiments at a very detailed level, which extends beyond non-interacting, ideal systems to multi-component reactions, concentration dependent non-ideality, slow kinetics and reaction equilibria determinations, co-sedimenting solutes, and methods for the spectral decomposition of dissimilar absorbing components such as nucleic acids, proteins and molecules containing unique chromophores. the tcnovel analysis methods utilizing the latest advances in technology and instrumentation. Among them are parallel computational approaches using Linux Beowulf systems. Such tools are required to model the large and computationally demanding systems of experimental data in a global approach.